166 results about "Disease area" patented technology

Systems and methods are disclosed for directing magnetizable particles comprising therapeutic agents to a target volume, or for guiding magnetizable particles comprising therapeutic agents from a first target volume to a second target volume, at a distance using a magnetic field, to enable the treatment of diseased areas including areas deep inside a patient's body. The methods may be used to diagnose or treat diseased areas within a patient, for example tumors of the lungs, intestines, and liver, and is also useful in enhancing the permeability of solid tumors to chemotherapeutic agents.

The present invention discloses a cancer pathology auxiliary diagnosis method based on an artificial intelligence technology. The method comprises the following steps of: canning a plurality of digital pathology images of a system into a computer, performing marking of diseased areas by pathologists to form a digital pathology image database; performing preprocessing of the digital pathology images to form a data set for algorithm training, performing sample collection, and forming a data subset for training; allowing a full convolutional network to use the data subset for training to performiteration training to regulate parameters, and constructing an artificial intelligence analysis module; scanning diagnosis pathology images, and decoding the diagnosis pathology images to access the artificial intelligence analysis module; and performing diagnosis and marking of the diagnosis pathology images by employing the artificial intelligence analysis module, and performing feedback of themarked pathology information to doctors. The cancer pathology auxiliary diagnosis method based on the artificial intelligence technology is high in diagnosis accuracy and can effectively assist doctors in discrimination of cancer pathology information.

The present invention describes polynucleotides that have been discovered to correlate to the relative intrinsic sensitivity or resistance of cells, e.g., lung cell lines, to treatment with compounds that interact with and modulate, e.g., inhibit, protein tyrosine kinases, such as, for example, members of the Src family of tyrosine kinases, e.g., Src, Fgr, Fyn, Yes, Blk, Hck, Lck and Lyn, as well as other protein tyrosine kinases, including, Bcr-abl, Jak, PDGFR, c-kit and Ephr. These polynucleotides have been shown, through a weighted voting cross validation program, to have utility in predicting the resistance and sensitivity of lung cell lines to the compounds. The expression level of some polynucleotides is regulated by treatment with a particular protein tyrosine kinase inhibitor compound, thus indicating that these polynucleotides are involved in the protein tyrosine kinase signal transduction pathway, e.g., Src tyrosine kinase. Such polynucleotides, whose expression levels correlate highly with drug sensitivity or resistance and which are modulated by treatment with the compounds, comprise polynucleotide predictor or marker sets useful in methods of predicting drug response, and as prognostic or diagnostic indicators in disease management, particularly in those disease areas, e.g., lung cancer, in which signaling through the protein tyrosine kinase pathway, such as the Src tyrosine kinase pathway, is involved with the disease process.

Age-related macular degeneration (AMD) results in the formation of new blood vessels in the eye. The walls of these vessels leak fluid, which causes scarring in the surrounding tissue and results in reduced vision or loss of vision. Photodynamic therapy (PDT) alone has been used to treat AMD, but many retreatments are needed, which cause further damage to the already diseased area. Laser treatment to coagulate the fluid actually causes additional new vessels to form. However, the inventive method of treating patients with both PDT and scatter threshold laser coagulation therapy surprisingly either improved vision, or prevented further loss of vision. Moreover, the combined treatment eliminated the need for retreatment, and did not generate new vessel growth. Threshold laser coagulation and PDT may be administered within the same treatment session or either may be administered first and the other may be administered within ninety days.

Described herein are microfluidic devices and methods that can greatly improve cell quality, streamline workflows, and lower costs. Applications include research and clinical diagnostics in cancer, infectious disease, and inflammatory disease, among other disease areas.

The invention discloses a remote-sensing crop disease identification method based on time phase and spectrum information and a habitat condition. Multi-time-phase visible light-near infrared and thermal-infrared remote sensing images in a study area within a monitoring period are obtained and pretreatment is carried out on the images; with the remote sensing images after pretreatment, planting information of target crops is extracted by combining a certain kind of classification algorithm; and according to the visible light-near infrared and thermal-infrared remote sensing images, habitat information of disease monitoring is obtained, a disease area and a disease type of the target crops in the study area are determined by combining the time phase information of the target crops and the obtained habitat information, and severity of the disease is determined by using the spectrum information based on the determined disease area and disease type. According to the technical scheme, the remote sensing diagnosis precision of the crop disease can be improved effectively; and a reverse identification problem of remote sensing crop disease monitoring can be solved to a certain extent.

The invention discloses a colposcopy image-based cervical cancer detection method, device and terminal equipment and a computer readable storage medium. The method comprises the following steps of: ina bidirectional convolutional neural network-based cervical cancer detection model, positioning and extracting a cervical opening position of an obtained colposcopy image so as to generate an ROI image comprising a cervical cancer disease area; extracting a cutting edge of the ROI image through a bidirectional convolutional neural network so as to generate a cut image; and carrying out cancer grade classification on the cut image through a classification convolutional neural network so as to output a cervical cancer lesion grade and then rapidly and correctly obtain a cervical cancer detection result. According to the method, doctors that are lack of experiences can be helped to rapidly judge diseased regions, discover atypical diseased regions and judge the disease degrees and sampling regions, so that help and auxo-action are provided for discovering cervical cancer and precancerous lesions.

Age-related macular degeneration (AMD) results in the formation of new blood vessels in the eye. The walls of these vessels leak fluid, which causes scarring in the surrounding tissue, resulting in reduced vision or loss of vision. Photodynamic therapy (PDT) alone has been used to treat AMD, but many retreatments are needed, which cause further damage to the already diseased area. Laser treatment to coagulate the fluid actually causes additional new vessels to form. However, the inventive method of treating patients with both PDT and laser coagulation surprisingly either improved vision, or prevented further loss of vision. Moreover, the combined treatment eliminated the need for retreatment, and did not generate new vessel growth. Laser coagulation and PDT may be administered within the same treatment session or either may be administered first and the other may be administered within ninety days.

A method and system for diagnosing and treating infection or disease, in which an individual takes a photograph of an infected or diseased area of a body using a camera connected to a microprocessor. The photograph is sent to a diagnosing center having a server with a second microprocessor and a database of photographs correlated with different diseases and infections. The second microprocessor scans the image received from the mobile telephone and compares it to the photographs in the database. If a match is found, the second microprocessor then notes the disease or bacteria corresponding to the matching photograph. The second microprocessor then searches the database for a treatment corresponding to the identified disease or bacteria. Once a treatment is identified, information regarding this treatment is automatically sent to the individual's microprocessor.

The invention provides a method and a device for identifying deformation type diseases of a pavement. The method comprises the steps of S1, according to pre-acquired three-dimensional model of the to-be-tested pavement, acquiring deformation depth information of the to-be-tested pavement; S2, according to the deformation depth information, extracting a suspected disease edge through an edge detecting algorithm; S3, acquiring a preliminary positioning disaster area according to the deformation depth information and the suspected disease edge, and positioning the disease area through area growthrestoring processing; and S4, acquiring the disease attribute set of the disease area, and identifying the disease type of the disease area according to the disease attribute set. According to the method and the device, through acquiring the disease depth information and a deformation depth image, the disease area in the pavement is accurately extracted, thereby ensuring integrity of the diseasearea. Furthermore the disease type of the disease area is accurately identified through the disease attribute, thereby realizing high-efficiency and high-accuracy testing and identification for the deformation type disease of the pavement.

The invention discloses a fast pavement disease detecting method based on an image. According to the method, pavement diseases of various types can be detected fast. The method comprises the steps that a range sensor triggers a camera to carry out shooting, and a pavement gray level image is obtained in the running process of a vehicle; preprocessing such as downsampling and track area detection is carried out on the image; disease edge detection, disease boundary smoothing, disease area detection, connection, clustering and other disease detection processes are carried out; the disease detection result is output. The method has good geometric distortion and uneven brightness change resisting capacity in robustness, the pavement diseases can be detected fast, the pavement diseases of various types can be detected, the threshold valve can be flexibly adjusted according to actual needs, and detection precision and speed can be adjusted.

The invention discloses a three-dimensional CT image segmentation method and a three-dimensional CT image segmentation device. The three-dimensional CT image segmentation method is characterized in that a first image can be converted into a two-dimensional image, and the first image is a binary image acquired by adopting threshold segmentation of a first CT image; a first area is acquired, and is the high light part of the two-dimensional image; a second area is acquired, and is the high light parts of the areas of the images of different layers of the first CT image corresponding to the first area; image data of a second CT image corresponding to the image data of the second area can be eliminated, and the corrected second CT image can be acquired. The method provided by the invention is advantageous in that the bone and other normal-appearing areas of the second CT image can be effectively eliminated, and the accuracy of the human tissue segmentation result can be improved, and therefore the accuracy of the disease diagnosis result including the diseased areas can be guaranteed, and the diagnosis accuracy can be improved.

The invention discloses a captive-breed piebald dastarcus helophoroides and a technology applied to prevent and control monochamus alternatus hope; the technology has the following steps: first, feeding imagoes of the piebald dastarcus helophoroides in the environment with the environmental temperature ranging from 23 DEG C to 27 DEG C and humidity ranging from 55 DEG C to 65 DEG C and inducing the imagoes to oviposit in large quantity and incubate larvae of the piebald dastarcus helophoroides; then using an alterative host to facilitate the larvae to live a parasitic life and grow, thus finally eclose to imagoes; then preparing the ovum or imagoes of the piebald dastarcus helophoroides into ovum release cards or imago release bags or finger-shaped tubes to be released in forest stands endangered by monochamus alternatus hope in the bursaphelenchus xylophilus disease area. With natural enemy insects adopted to control pests, the pests and the disease can be brought under effective andsustained control in the premise of not polluting the environment, maintaining ecological balance and biodiversity, therefore, the technology of the invention is an advanced technology for controlling monochamus alternatus hope and bursaphelenchus xylophilus disease.

Systems and methods are disclosed for trapping or focusing magnetizable particles comprising therapeutic agents at a distance using a dynamic magnetic field and feedback control, to enable the treatment of diseased areas deep inside a patient's body. The methods may be used to diagnose or treat diseased areas deep within a patient, for example tumors of the lungs, intestines, and liver, and is also useful in enhancing the permeability of solid tumors to chemotherapeutic agents.

The invention provides a road image intelligent acquisition and identification method based on deep learning. The road image intelligent acquisition and identification method comprises the following steps: shooting a road video image through road image acquisition hardware, extracting key frames in the video image through a program, detecting and identifying the key frames through an image intelligent identification algorithm, and determining a disease position, a disease category and a disease grade in the road image. According to the invention, positioning of the road disease area and classification tasks of types and grades can be completed, and manual intervention is not needed, and unmanned operation is completely realized, and the automation degree is high, and the fault tolerance ishigh, and the road maintenance patrol efficiency can be greatly improved, and the intelligent management level of the industry is improved.

Intra-oral imaging apparatus and / or method embodiments can provide digital dental reflectance images used to identify selected areas of interest (AOI) within a dental region of interest (ROD having selected image characteristics for both hemo-globin's total concentration and oxygenation level. In one embodiment, reflectance images can determine relative total hemoglobin using at least a wavelength band that includes an isobestic wavelength for absorption coefficients of oxyhemoglobin (HbO2) and deoxyhemoglobin (Hb). In one embodiment, intra-oral imaging apparatus and / or method embodiments can use reflectance images of a dental region at least at three wavelengths; a control logic processor for processing the reflectance images to determine relative tHb and its relative oxygenation level and / or identify disease areas having periodontal tissues condition; and a display for displaying periodontal tissues or a visual indication of the areas having selected imaging characteristic determined by the reflectance images.

The invention discloses an edge vector line extraction algorithm of the binary image of a road surface disease gray scale abnormal area of the black and white image of a road surface. With the algorithm adopted, automatic extraction of multi-approximation level vectorized boundary polygons is performed on the boundary pixels of a binarized pattern spot which is generated after image processing. The algorithm has the advantages of controllability in boundary approximation, high regularity, suitability for computer calculation and the like; the polygon data of the boundaries of the binarized image, which are extracted by the algorithm, can be used for data conversion of a geographic information system, automatic map compilation, image automatic identification including identification and extraction of a CCD image disease area of a road surface, spectral feature range identification of remote sensing images, and the like.

The invention discloses a skin disease detecting method based on deep learning and a system thereof. The method comprises the steps of preprocessing a picture of a to-be-detected skin, inputting the picture into an improved Faster RCNN neural network model, wherein the neural network model outputs the disease area and the disease type of the to-be-detected skin; wherein the neural network model utilizes a deep width residual error network for performing characteristic extraction on the input picture, and using the extracted characteristic picture as the shared characteristic of the disease area and the disease type for realizing simultaneous learning of two optimization objects. The skin disease detecting method can more effectively improve model performance and has improved detecting effect than basic Faster RCNN. The method and the system are suitable for face skin disease detection and disease detection at other parts or non-healthy area detection. The method and the system can be used for detection of various diseases in a medical industry and a medical beautifying industry.

The invention discloses a disease detection device for an asphalt pavement. The disease detection device comprises a carrying trolley, an infrared image collecting part, a water tank, a water spraying mechanism, an embedded system and a satellite positioning system. The water tank and the water spraying mechanism are used for spraying water on the asphalt pavement. The infrared image collecting part is used for collecting an infrared image of the asphalt pavement on which water is sprayed. The embedded system is used for obtaining infrared image data of the infrared image collecting part and conducting color analysis on the infrared image data. When diseases on the pavement exist, color segmentation is conducted on the infrared image data, the types of the diseases of the pavement and the area of the disease area are determined, the current position data of the satellite positioning system are read, and a result is stored into a database. The invention further discloses a disease detection method for the asphalt pavement. The diseases on the asphalt pavement and the development state of the diseases are accurately and rapidly detected, the labor intensity of workers is relieved, the labor efficiency is improved, and the maintenance cost of the asphalt pavement is reduced.

To provide infusion therapy that can effectively transluminally deliver drugs or the like to a target spot without invading areas other than a diseased area. The infusion therapy is for administering a drug, cells or the like, or inserting a treatment instrument into the target diseased area. A blood vessel area including a bifurcated blood vessel connecting to the diseased area is occluded at the distal and the proximal region thereof to form an occluded area, and the drugs or the like are pumped and supplied to the occluded area, which causes the drugs or the like to flow retrogressively and retentively in the bifurcated blood vessel connecting in the occluded area, and be infused and administered to the diseased area.

A microfluidic device comprises: a channel extending from a plurality of inlets to a plurality of outlets, wherein the channel is bounded by a first wall and a second wall opposite from the first wall; and an array of obstacles disposed within the channel configured to deflect particles in a sample comprising the particles toward the second wall when the particles are flowed from the inlets to the outlets. The particles are inputted into at least one of the plurality of inlets and are deflected through a series of parallel flow streams flowing from the plurality of inlets to the plurality of outlets while being deflected toward the second wall, wherein streams in the parallel flows comprise a reagent. Microfluidic devices and methods greatly improve cell quality, streamline workflows, and lower costs. Applications include research and clinical diagnostics in cancer, infectious disease, and inflammatory disease, among other disease areas.

An in vitro microfluidic “organ-on-chip” is described herein that mimics the structure and at least one function of specific areas of the epithelial system in vivo. In particular, a multicellular, layered, microfluidic culture is described, allowing for interactions between lamina propria-derived cells and the associated tissue specific epithelial cells and endothelial cells. This in vitro microfluidic system can be used for modeling inflammatory tissue, e.g., autoimmune disorders involving epithelia and diseases involving epithelial layers. These multicellular, layered microfluidic “organ-on-chip”, e.g. “epithelia-on-chip” further allow for comparisons between types of epithelia tissues, e.g., lung (Lung-On-Chip), bronchial (Airway-On-Chip), skin (Skin-On-Chip), cervix (Cervix-On-Chip), blood brain barrier (BBB-On-Chip), etc., in additional to neurovascular tissue, (Brain-On-Chip), and between different disease states of tissue, i.e. healthy, pre-disease and diseased areas. Additionally, these microfluidic “organ-on-chips” allow identification of cells and cellular derived factors driving disease states in addition to drug testing for reducing inflammation effecting epithelial regions.

The invention belongs to the technical field of monitoring of crop diseases and in particular relates to a method for determining wheat head scab levels based on a cloud model. The method comprises the following steps: extracting disease areas, constructing color characteristics, generating a gibberella saubinetii color characteristic cloud model, establishing a comprehensive evaluation model andanalyzing the evaluation model. By utilizing the relationship between color changes in the disease areas and wheat diseased panicle rate levels in the gradual pathologic process of wheat head scab, the color characteristic cloud of the disease areas is obtained by combining with three numerical characteristics of the cloud model, the wheat head scab levels are subjected to non-rigid diversion by utilizing the cloud model, and comprehensive evaluation is realized.

The invention discloses a renovation method for treating mud pumping of a plate-type ballastless track railway roadbed. Drilling is conducted on the surface layer of a foundation bed through a special horizontal drilling machine, and then the method that hot air is injected into grouting hole passageways is adopted; accumulated water in a mud pumping disease area is subjected to treatment, and grouting is conducted in grouting holes after accumulated water treatment is completed; before grouting, telescopic seams of a base plate, cracks of the side edges and orifices of the opposite sides of the grouting holes are subjected to sealing treatment, and then grouting is successively conducted in the hole passageways according to a certain sequence; a uniform and compact water insulation layer with the certain strength is formed between the base plate and the surface layer of the foundation bed after grouting is completed; and the water insulation layer can obstruct water of cracks on the upper portion from invading into the surface layer of the foundation bed and can also block fine particle soil in the surface layer of the foundation bed on the lower portion to move upwards. According to the novel renovation method for treating mud pumping of the plate-type ballastless track railway roadbed, the mud pumping disease of the plate-type ballastless track railway roadbed can be well governed.