162 results about "Mammary tissue" patented technology

A deep learning-based virtual HER2 IHC staining method uses a conditional generative adversarial network that is trained to rapidly transform autofluorescence microscopic images of unlabeled / label-free breast tissue sections into bright-field equivalent microscopic images, matching the standard HER2 IHC staining that is chemically performed on the same tissue sections. The efficacy of this staining framework was demonstrated by quantitative analysis of blindly graded HER2 scores of virtually stained and immunohistochemically stained HER2 whole slide images (WSIs). A second quantitative blinded study revealed that the virtually stained HER2 images exhibit a comparable staining quality in the level of nuclear detail, membrane clearness, and absence of staining artifacts with respect to their immunohistochemically stained counterparts. This virtual staining framework bypasses the costly, laborious, and time-consuming IHC staining procedures in laboratory, and can be extended to other types of biomarkers to accelerate the IHC tissue staining and biomedical workflow.

The inventions provided herein relate to injection applicators, tissue markers and uses thereof, e.g., to mark a target tissue site (e.g., a biopsy site in a breast tissue) or to produce a cell scaffold. The tissue markers described herein are designed to be resistant to fast migration (e.g., immediate migration after implantation through a needle track) and slow migration (e.g., over an extended period of time) upon implantation at a target tissue site (e.g., a biopsy site in a breast tissue), without using an adhesive. Additionally or alternatively, the tissue markers described herein can be readily detectable by at least one imaging modality, e.g., but not limited to magnetic resonance imaging, X-ray imaging, ultrasound imaging, or a combination thereof.

The invention discloses a breast image segmentation method based on dynamic sampling and multi-scale parallel attention, and the method carries out the related work on a breast cancer core needle biopsy full-slice data set and a mammary gland slice data set built by a company, and carries out the training and verification of a mammary gland image segmentation model through a mammary gland tissue image data set. And predicting a to-be-detected mammary gland pathological section by using the trained segmentation model weight to obtain the specific position and type of the mammary gland abnormal tissue. According to the method, high-resolution features can be continuously reserved in the whole segmentation process, expression of important features is enhanced through a proposed attention mechanism, background information is effectively inhibited, detail and global information is captured under multiple scales, and the tumor detection precision of the model is effectively improved.

The invention discloses intelligent wearable equipment for breast health monitoring and a data analysis system and method. The equipment comprises a plurality of wearable ultrasonic patches, a wireless communication module, a signal processing and control unit and a power management module. The data analysis system comprises a data acquisition system, a data transmission system, a data processing and analysis system and a user interaction system, and the data acquisition system is used for acquiring ultrasonic images of mammary tissue and physiological parameters of a mammary area; the data processing and analysis system comprises a data preprocessing module, a feature extraction module and a multi-modal deep learning algorithm module, data preprocessing, feature extraction and data fusion are achieved, and the user interaction system comprises a data visualization system and an early warning notification module. According to the invention, ultrasonic images and various physiological parameters of the mammary gland can be collected in real time, long-term, repeatable and non-invasive monitoring can be carried out on the mammary gland tissue, and early warning and risk assessment of mammary gland diseases can be realized.

The invention provides a degradable breast implant which is of a three-dimensional network structure and comprises a surface part and a filling part, the surface part is a first three-dimensional virtual boundary and is located on the periphery of the breast implant, the appearance of the first three-dimensional virtual boundary is of a preset shape, the size of the first three-dimensional virtual boundary is of a preset size, and the center position of the surface part is a base point; the surface part is filled with the filling part, the filling part is of a dot matrix structure formed by a plurality of lattice units, the fiber thickness of the lattice units is the line diameter, the dot matrix structure comprises a plurality of dot matrix layers which are connected and communicated with one another, the shape of the dot matrix layers is the same as a preset shape, and the size of the dot matrix layers is scaled down relative to the preset size. The line diameters of the same dot matrix layer are the same, and the line diameters of different dot matrix layers are gradually reduced from the base point to the surface part. The line diameters of the different dot matrix layers are designed to be gradually reduced in the direction from the base point to the surface part, so that the problem of non-uniform breast tissue regeneration and growth caused by no difference of the degradation speed of the breast implant is successfully solved.

The invention relates to the technical field of medical drainage equipment, in particular to in-vivo effusion drainage equipment for breast surgery, which comprises a storage rack, a pair of drainage tubes and an overclothes for a patient to wear, two drainage bottles are placed in the storage rack, a box body is arranged at the top of the storage rack, and a driving mechanism is arranged in the middle of the interior of the box body; two first gas distribution mechanisms and two second gas distribution mechanisms are arranged in the box body and are symmetrically arranged relative to the driving mechanism. The first air distribution mechanism is driven by the driving mechanism to work to inflate and deflate the pressing air bag set, automatic pressing can be conducted on the mammary gland portion of an operation area of a patient, effusion can be rubbed away, accumulation of the effusion in mammary gland tissue is avoided, hematoma or blood clots are reduced, and the effusion is discharged more effectively; blood circulation and metabolism of surrounding tissues are promoted through pressing, swelling of an operation area is eliminated, postoperative pain and discomfort of a patient are relieved, swelling of the patient is relieved, and the healing process of the tissues is improved.

The invention relates to the technical field of medical image processing, and discloses a multi-mode ultrasonic mammary gland and multi-mode fusion method. The method comprises the following steps: S1, acquiring medical images of at least two modalities of a mammary gland area, wherein the medical images comprise a first modal image and a second modal image; s2, performing standardization preprocessing on the first modal image and the second modal image; and S3, constructing a physical modeling model of the breast tissue based on the second modal image, and generating a tissue deformation displacement field to obtain tissue response information. By adopting a multi-modal ultrasonic mammary gland image registration and fusion technology and combining feature fusion and deformation field optimization based on an image neural network, the image registration precision is remarkably improved. Compared with a traditional image registration method in the prior art, the multi-modal image registration method not only optimizes the alignment effect among the multi-modal images, but also effectively reduces registration errors caused by modal differences, and particularly provides more accurate alignment on detail structures of breast tissues.

The invention discloses a dynamic diffusion optical tomography method and device based on ultrasonic position prior, equipment and a medium, and relates to the technical field of image processing, and the method comprises the steps: obtaining a to-be-reconstructed breast image and an ultrasonic image which are collected and preprocessed when a to-be-detected breast is under preset pressure; calculating a weight matrix of a mathematical model constructed based on the to-be-reconstructed breast image according to the breast morphology parameters in the ultrasonic image, and solving a detector data matrix of the mathematical model by using the to-be-reconstructed breast image; and based on a detector data matrix solving result and a weight matrix calculation result of the mathematical model, solving an optical absorption coefficient matrix in the mammary tissue in the mathematical model by using focus space position information representing a mammary tissue focus area in the ultrasonic image to obtain optical characteristic information in the mammary tissue. And obtaining a reconstructed breast image based on a post-processing result of the optical characteristic information. According to the invention, the accuracy and resolution of optical imaging are improved.

The invention relates to the technical field of deep learning, and provides a mammary gland blood oxygen dynamic imaging method and system based on multispectral fusion, and the method comprises the steps: irradiating mammary gland tissues, and collecting mammary gland tissue reflected light image sequences under different wavelengths to obtain multispectral time sequence data; constructing an adaptive weight prediction network model, and dynamically predicting the fusion weight of each spectral wavelength at different moments in the future according to the blood oxygen change intensity and historical time sequence information at the current moment; performing multi-resolution time sequence modeling on the multi-spectral time sequence data, respectively extracting short-term, medium-term and long-term time sequence features, and performing weighted fusion on the features of different spectral wavelengths through a fusion weight to obtain fusion feature data; and performing inversion processing on the fused feature data, and calculating oxyhemoglobin saturation distribution of a continuous time sequence in real time to obtain a dynamic blood oxygen image sequence. According to the invention, the blood oxygen detection precision and the depth resolution are improved, and high-precision dynamic imaging of the blood oxygen saturation of the breast tissue is realized.

Disclosed is a diamond quantum sensor-based breast cancer detection apparatus. The apparatus comprises a fluorescence reading apparatus, a microwave generation control apparatus, a laser generation control apparatus, a calculation control system, and a medical diagnosis station. A diamond microwave sensing probe in the medical diagnosis station is configured for radiating detecting microwaves to a target to be tested, and a camera is configured for photographing an image of said target and sending the image to the calculation control system. The microwave generation control apparatus is configured for generating a control microwave input into the diamond microwave sensing probe. The laser generation control apparatus is configured for generating a laser input into the diamond microwave sensing probe. The calculation control system is configured for calculating the intensity of a microwave scattered by said target and solving for the distribution of dielectric properties in said target. In the present invention, the NV center in diamond is used as a probe to measure a microwave field, so that high-sensitivity and high-spatial-resolution microwave imaging of cancerous tissue in mammary tissue can be realized.

The invention provides an antibiotic-free dry milk composition which comprises an effective amount of chitosan and baicalein, and further comprises a greasy carrier, a suspending aid, a wetting agent and an antioxidant. The dry milk composition disclosed by the invention has the effects of promoting dry cow mammary tissue repair, inhibiting milk secretion and enhancing milk region immunity, and can accelerate mammary epithelium renewal and reduce milk yield so as to reduce internal milk pressure; the synergistic effect is achieved in the aspects of promoting the antioxidant activity and inhibiting the sensitivity of staphylococcus aureus, escherichia coli and the like to drugs; the milk leakage rate of the dairy cows in the dry period can be obviously reduced, and the milk drying effect is obvious, especially the early-stage milk drying effect is obvious.

The invention provides a breast cancer tissue anomaly detection method based on multi-frequency electrical impedance dynamic analysis, and the method comprises the steps: generating a multi-frequency electrical excitation signal covering a preset low frequency to a high frequency, applying the multi-frequency electrical excitation signal to a to-be-detected breast tissue through an electrode array, and synchronously collecting a response voltage signal. Orthogonal demodulation is carried out on the collected voltage signals, real and imaginary components of each frequency point are separated, a complex impedance value is calculated, and a multi-frequency impedance spectrum is generated. Feature vectors including amplitude-frequency characteristic slope, phase-frequency characteristic extreme point position, high-frequency-band impedance attenuation rate and the like are extracted from the impedance spectrum, a pre-trained dynamic judgment model is input to calculate a tissue anomaly index, and finally whether the mammary gland tissue is abnormal or not is judged according to a comparison result of the anomaly index and a preset threshold value. The accuracy of early detection of breast cancer can be improved, and the stability and reliability of detection are enhanced.

The invention belongs to the technical field of breast cancer treatment and detection, and particularly discloses a 3D printing molded breast cancer prone treatment positioning device, which comprises a bottom plate fixed on a mobile platform of treatment and detection equipment; a first supporting piece, a second supporting piece and a third supporting piece are sequentially arranged on the upper surface of the bottom plate in the moving direction of the moving platform. The first supporting piece, the second supporting piece and the third supporting piece are used for supporting a human body; a detection cavity is formed between the second supporting piece and the third supporting piece and is used for accommodating mammary tissue of a human body; the pressing part is arranged on the upper surface of the bottom plate; the pressing part comprises a fastening belt, the inner surface of the fastening belt and the upper surface of the bottom plate define a fixing cavity for a human body to pass through, and the detection cavity is located in the fixing cavity; the fastening belt is used for surrounding ribs and the back of a human body and applying acting force to the human body; the breast detection device has the following advantages that through segmented supporting, the detection cavity and the fastening belt, tissue overlapping is effectively reduced, and the breast detection accuracy and stability are improved.

The invention discloses a single molecule detection kit for a plurality of non-coding RNAs (Ribonucleic Acid) in human breast tissues by using a programmable automatic cascade mechanism and application of the single molecule detection kit. The preparation method of the single molecule detection kit comprises the following steps: incubating piRNA-36026, lncRNA-DSCAM-AS1, a dumbbell probe-pi, a dumbbell probe-lnc, a primer-pi, a primer-lnc, a dNTP mixed solution, a ThermoPol reaction buffer solution and a reaction solution of Bst DNA polymerase (large fragment); and adding the reaction product into a reaction solution containing the signal probe 1, the signal probe 2, an NEBuffer 4 reaction buffer solution and T7 exonuclease, and incubating to obtain the single molecule detection kit. According to the present invention, the efficient automatic cascade mechanism and the high signal-to-noise ratio single molecule detection are adopted to achieve the sensitive simultaneous detection of a variety of ncRNAs, and the high sensitivity, the good selectivity and the multi-path analysis ability are provided.

An antenna-based system for hyperthermia treatment of breast cancer, consisting of: a G-shaped microstrip patch antenna configured for operation at an ISM frequency of 434 MHz and having dimensions of 3.6 cm × 3.8 cm × 1.6 cm; an aluminum cavity chamber to accommodate the G-shaped microstrip patch antenna; a coaxial feed line configured to allow an impedance matching of 50 ohms to the G-shaped microstrip patch antenna; a bolus of deionized water configured to surround the aluminum cavity chamber, wherein the bolus of deionized water is further configured to serve as a cooling medium for controlling the skin surface temperature, and wherein the bolus of deionized water is further configured to reduce hotspots and improve the radiation efficiency of the G-shaped microstrip patch antenna; and A polyethylene film was positioned between the G-shaped microstrip patch antenna and the bolus of deionized water to prevent interference between the G-shaped microstrip patch antenna and a breast tissue phantom.

A system and method of analysis for medical image data. An image of breast tissue is received, a region of interest (ROI) in the image is identified based on tissue characteristics, and a query image is defined. A hierarchy of lesion data in a lesion database is retrieved, the hierarchy being formed based on one or more relationships among a plurality of images, and the query image is positioned within the hierarchy of lesion data based on the tissue characteristics. A position of the query image within the hierarchy of the lesion data in the lesion database is determined, identifying one or more neighbor images of the query image from among the plurality of images based on the position, and statistics associated the one or more neighbor images are retrieved. Analytics associated with the query image based on the statistics are generated, and a graphic depicting the analytics is displayed.

The utility model provides a visible mammary tissue marker device with grasping forceps, which comprises a needle handle, a puncture needle, a trigger button, a push needle, grasping forceps and a marker, the front end of the trigger button is arranged in the needle handle in a sliding manner, the push needle is arranged in the puncture needle in a sliding manner, and the grasping forceps are arranged in the needle handle in a sliding manner. The grasping forceps comprise a rear fixing end, an upper concave forceps head and a lower convex forceps head, the upper concave forceps head and the lower convex forceps head are connected with the front end of the rear fixing end, the rear fixing end is fixed at the front end of the push needle, the upper concave forceps head and the lower convex forceps head are in an open state in a natural state, and grooves are formed in the front ends of the opposite faces of the upper concave forceps head and the lower convex forceps head. A groove is formed in the upper concave forceps head, a protrusion is arranged at the position, opposite to the groove, of the lower convex forceps head, when the upper concave forceps head and the lower convex forceps head are closed, the protrusion is embedded into the groove, and the grasping forceps are used for grasping the marker. And the marker can be conveniently put in and taken out through the grasping forceps arranged in the puncture needle in a sliding manner.

The application discloses a breast cancer examination tool based on collagen fiber multi-element fusion analysis, which is used for quantitative analysis of breast tissue collagen fiber structure characteristics and examination of breast tissue cancer level. The application can multidimensionally and comprehensively extract structure information of collagen fibers, and through multi-element fusion analysis of multiple structure parameters, the application improves information complementarity of breast tissue morphological characteristic analysis; the application realizes visualization of collagen fiber structure characteristics by using a pixel level resolution quantitative method and combining with a pseudo-color coding technology, and enhances intuitiveness of information; the application classifies and analyzes three potential biomarkers representing different breast cancer levels, provides a high-precision, automatic and rapid breast cancer level examination method, and has greater application potential compared with a traditional breast cancer examination method.

The invention provides a method for inducing transdifferentiation of somatic cells into mammary epithelial cells by using an exosome for inducing mammary epithelial cells. The method is efficient, safe and high in specificity. The somatic cells are induced to be transdifferentiated into the mammary epithelial cells by inducing the mammary epithelial cell exosome, so that a new cell source and a new technical means are provided for repairing and regenerating mammary tissues and treating related diseases.

The invention belongs to the technical field of medical ultrasonic imaging, and particularly relates to a low-frequency reverberation breast ultrasonic viscoelastic ultrafast imaging method and system based on FPINN. The low-frequency reverberation breast ultrasonic viscoelastic ultrafast imaging method comprises the following steps: acquiring and processing displacement data of a to-be-imaged breast tissue to obtain frequency domain information; obtaining shear wave velocities under different frequencies based on the frequency domain information, and obtaining elasticity, viscosity and flow data of the mammary tissue according to the shear wave velocities under different frequencies; and based on the obtained elasticity, viscosity and flow data of the mammary tissue, performing imaging processing by using the trained FPINN model to obtain an imaging result of the mammary tissue. According to the FPINN model, in the imaging processing process, the input elasticity, viscosity and flow data of the mammary tissue can be quickly converted into imaging results, and the real-time performance and accuracy of imaging can be improved.

The invention relates to an embroidery pattern for producing a mesh pocket to support an implant, specifically a breast implant, and / or tissue, specifically breast tissue, comprising a two-dimensional ring structure (1) with several spaced-apart concentric rings (1.1 - 1.13), each adjacent concentric ring (1.1 - 1.13) having several connections (2.1 - 2.12), wherein the connection length of the connections (2.1 - 2.12) formed between adjacent concentric rings, extending from one of the inner concentric rings (1.1 - 1.12) to the outer concentric ring (1.13), increases, at least in certain areas, relative to the distance between the respective adjacent concentric rings (1.1 - 1.13). The invention further relates to a method for producing the mesh pocket, wherein the embroidery pattern is stitched onto a substrate and the substrate is subsequently removed.The net pocket is finally formed by concentric twisting of the concentric rings (1.1 - 1.13).

The application discloses a breast cancer HER2 gene mutation prediction method and device based on ABVS, and comprises the following steps: S1, acquiring an ABVS image; S2, performing preliminary segmentation on the ABVS image to obtain a breast tissue part; S3, performing secondary segmentation on the basis of the segmented breast tissue part to obtain a lesion ROI region; S4, obtaining an imageomics feature according to the lesion ROI region, wherein the imageomics feature comprises first-order gray statistical features, shape features, texture features and transformation-based features; and S5, combining segmentation features generated in the segmentation process with the imageomics feature, and using a deep feature classifier to predict a HER2 gene mutation state. The application predicts the HER2 mutation state in breast cancer by using a non-invasive method, is accurate in prediction, and provides help for clinical treatment of breast cancer.

The invention discloses a molybdenum target detection device based on human engineering, which belongs to the technical field of medical engineering and intelligent sensing control, and comprises an electric compressor, a ray emitter and a control center, wherein the electric compressor comprises a plurality of retractable slide rail sections and a slide rail chassis; for any one contraction slide rail section, the contraction slide rail section is slidably clamped with the petal-shaped curved surface imaging plate through a sliding buckle; when the control center recognizes a detection starting signal, the petal-shaped curved surface imaging plate is controlled to move towards the center direction of the sliding rail chassis along the contraction sliding rail section, so that the electric compressor enters a clamping state; when the control center judges that the detected mammary tissue image is effective, a detection ending signal is obtained, the petal-shaped curved surface imaging plate is controlled to move in the opposite direction of the center of the sliding rail base plate along the contraction sliding rail section, and the electric compressor enters a release state. According to the molybdenum target detection device based on the human engineering, it is guaranteed that the detection process is conducted stably, and the image detection precision is effectively improved.

The invention discloses a breast cancer NAT curative effect prediction method and system based on artificial intelligence, and belongs to the technical field of medical information processing, and the method comprises the steps: carrying out the image registration of a pre-treatment image data set and a post-treatment image data set, and marking a corresponding focus position as a region of interest; positioning a tumor body core region of a region of interest of the pre-treatment image data set as a dark target region, and identifying a tumor recession sub-image of the post-treatment image data set according to the dark target region; reconstructing the boundary of the tumor recession sub-image of the post-treatment image data set to obtain a reconstructed image data set; utilizing a pre-trained deep learning model to obtain a prediction result of the breast cancer NAT curative effect; the problem that the boundary between the tumor and the surrounding normal mammary tissue is not clear due to the recession phenomenon is eliminated, so that the tumor recession sub-image of the to-be-recognized area can be used for a deep learning network, and the accuracy and reliability of a prediction model are improved.

Systems and methods related to processing medical image data. Medical image data of a patient's breast tissue is received from a medical imaging device. The medical image data includes a plurality of X-ray projection images of the patient's breast tissue from a plurality of perspectives. The medical image data is encoded using lossy compression. The medical image data is decoded to yield a transmission image. The transmission image is encoded using lossless compression to yield a first compressed image. The first compressed image is transmitted to a first viewing device. The first viewing device is configured to decode the first compressed image to yield the transmission image and view the transmission image using the first viewing device. Viewing the transmission image includes viewing at least one of the plurality of X-ray projection images of the patient's breast or a composite image of the plurality of X-ray projection images.

A method and system enabling a determination of the risk of developing breast cancer of a subject, comprises using a magnetic resonance spectroscopy device to obtain the level of the spectral signal at 3.15 and 3.19 ppm, within the breast tissue of the subject, and comparing the level of the spectral signal obtained in the first step with a reference level of a spectral signal at 3.15 and 3.19 ppm of the breast of a healthy subject, to determine whether the level of the signal obtained in the first step exceeds the reference level of a healthy subject is comparable to that of a subject known to be at elevated risk; or is elevated to the level of persons known to be carrying a gene mutation.

The present invention relates to the technical field of image analysis and proposes a method and system for detecting structural distortion based on dual-view digital breast tomosynthesis, comprising the following steps: acquiring a three-dimensional breast tomosynthesis image containing two projection position perspectives and processing the image into a two-dimensional image slice; marking the position of structural distortion in the two-dimensional image slice using a bounding box; pairing the marked two-dimensional image slices from the two projection position perspectives belonging to the same breast; predicting the two-dimensional detection frames corresponding to the position of structural distortion in the paired two-dimensional image slices using a computer-aided detection model and extracting a representation vector of the breast tissue structure within the two-dimensional detection frame; matching the two-dimensional detection frames in the image slices from the two projection position perspectives using the breast tissue structure representation vector of the paired two-dimensional image slice; fusing the two-dimensional detection frames into a three-dimensional detection frame; and eliminating part of the three-dimensional detection frame based on information from a single perspective and a dual perspective to obtain a final retained three-dimensional detection frame.

The invention relates to the technical field of daily necessities, and particularly discloses a breast enlarging composition containing natural plant extracts and a preparation method of the breast enlarging composition. The breast enlargement composition containing the natural plant extracts comprises the following components: a CYNARA SCOLYMUS leaf extract, a HUMULUS LUPULUS extract, a puerarin root extract, a pawpaw fruit extract, a ginseng root extract, acetyl hexapeptide-8, hexapeptide-9, dipeptide diaminobutyrylbenzylamide diacetate, arginine / lysine polypeptide and deionized water, and is prepared from the following raw materials: the CYNARA SCOLYMUS leaf extract, the HUMULUS LUPULUS extract, the puerarin root extract, the pawpaw fruit extract, the PANAX GINSENG root extract, the acetyl hexapeptide-8, the hexapeptide-9, the dipeptide diaminobutyrylbenzylamide diacetate, the arginine / lysine polypeptide and the deionized water. Through the synergistic effect of all the components, breast tissue development and cell regeneration are further promoted, so that the compactness of breast skin is enhanced, and the breast enlarging effect is achieved.

The invention relates to the technical field of medical equipment, in particular to a surgical incision edge positioning and marking device which comprises a nail bin clamping plate and a nail abutting seat, a nail bin assembly is arranged on the nail bin clamping plate, and a nail pushing unit is arranged on the nail bin assembly. The nail pushing unit comprises a push rod with one end extending into a handle of the anastomat and an I-shaped tool bit which is arranged on the push rod and is used for cutting off mammary tissue and pushing a suture nail; the marking assembly comprises a marking unit and a feeding unit, wherein the marking unit is arranged on the I-shaped tool bit and used for marking and positioning the surgical cutting edge in the process that the I-shaped tool bit pushes the sewing nail, and the feeding unit is arranged on the I-shaped tool bit and used for conveying dye to the marking unit. And a drying assembly. According to the device, in the stitching nail anastomosis process, dye rolling and coating can be synchronously carried out on the preprocessed surface of a stitching nail, multiple colors can be selected, accurate judgment can be carried out in surgical cutting edge marking and positioning, more intuitive visual help is provided, and overall operation is easy and convenient.