147 results about "Cervical cell" patented technology

The invention discloses a cervical cell pathological slice automatic judging method with high and low resolution combination, which is characterized in that the method comprises the following steps: extracting a single cell mass region on a low-resolution cervical pathological slice image; extracting a single cell mass region from the low-resolution cervical pathological slice image; identifying suspicious abnormal cell clusters from low-resolution cell clusters; mapping suspected abnormal cell mass regions into high resolution slice images; semantically segmenting pathological cells from thehigh-resolution region of suspicious cell clusters and interpreting the type; according to the type, quantity and confidence of the segmented lesion cells, establishing the feature set of the slice, and then classifying the lesion type of the whole slice. The invention takes cell cluster as processing and recognition unit, utilizes classification neural network model to quickly identify suspiciousabnormal cell cluster on low-resolution digital slice, then divides out pathological cell on high-resolution suspicious area and judges its type, at the same time, improves recognition accuracy and recognition efficiency.

The invention discloses a simple thin liquid-based cytology examine method applied for the gynecological examination, the cervical cancer general examine and the cervical cancer preceding lesion of selected crowd, the steps including: using the cervical cells brush and the scraper to collect samples, put samples in the liquid-based cell preservation solution, add base liquid cell processing solution, oscillate, centrifugally separate, take and discard the supernatant samples liquid, using adding samples gun to assimilate sediment samples, smear, sheet drying, using 95% ethanol marinate or spray for fixed, washing and dyeing. The invention has simple method, small steps, high positive detection rate, low misdiagnosis rate, low cost, and it can effectively eliminate the red blood cells, mucus and other interference components from the cervical cytology detection specimens, with good sheet-producing result.

The invention discloses a cervical cell pathological slice pathological cell segmentation method and system, in particular, an off-line training sample set of cervical cell pathological slice pathological cell is established, a multi-scale cavity convolution structure semantic segmentation network is introduced on the basis of a depth residual network, and the semantic segmentation model is trained. The unit to be identified is extracted from the cervical pathological slice image, and different types of pathological cells are segmented in the unit to be identified by using the trained semanticsegmentation model. Based on the morphological features of pathological cells, a contour deformation model is established to further optimize the semantic segmentation results. According to the cellnumber and confidence level of different pathological types, the pathological types of the whole slice are predicted. The invention utilizes semantic segmentation network model and deformation variational model to accurately segment different types of pathological cells on the cell pathological slice image, and simultaneously improves the recognition accuracy and the recognition efficiency.

Cervical Acid Phosphatase-Papanicolaou Test Kit (CPK) is an assembly of reagents, controls and instructions for visualization of cervical acid phosphatase on smears or monolayers of cervical specimens, and for performing the CAP-PAP Test (CPT). CPT is a single-slide, double-staining method for demonstration of cervical acid phosphatase activity inside abnormal cervical cells on Papanicolaou stained smears, and a set of criteria for using this test for cervical cancer screening. In previous clinical trials this method was found to enable Pap test screeners to improve test sensitivity (detection of abnormal cells) for more than 10% (from 0.8 to 0.9), and to reduce false negative readings (missing abnormal cells) for more than 50% (from 0.1 to 0.02). Due to better accuracy and the low cost, when approved, CPT may begin to replace current technologies for cervical cancer screening. CPK is designed to meet requirements for testing large series of specimens on regular basis-the usual practice in cytopathology laboratories performing the Pap test. CPK brings consistency for staining and interpretation, makes internal and external controls easier, and improves the test accuracy for lower cost, while increases laboratory productivity for less liability.

The invention discloses a cervical cell image classification method based on a graph convolutional neural network. Firstly, a cervix uteri cell image is prepared as a training sample; 1024-dimensionalfeature representation of a sample is acquired, a sample feature relation graph is constructed, a deep network based on a graph convolutional network is constructed, the sample and the sample featurerelation graph are sent to the deep network model for training, training is stopped after iteration is performed for a certain number of times, and network weight parameters are stored. When the method is used, a target image is segmented into a to-be-predicted area with cell nucleuses, then weight parameters and a network structure obtained through training are loaded, the to-be-predicted area is input into the to-be-predicted area, and a classification result can be obtained through calculation. According to the method, the cervical cell diagnosis accuracy and efficiency are improved, the diagnosis process of a pathologist is optimized, and the workload of the pathologist is reduced.

The invention discloses a novel pasteurization method and an abnormal cervical cell automatic identification method. The novel pasteurization method comprises two modules, the module 1 is used for training a cervical cell classification model based on a mass cervical cell data set, and the module 2 is used for identifying abnormal cervical cells by using the trained classification model. The invention provides the novel pasteurization method, so that the problems existing in the traditional pasteurization method are well solved, and the possibility is provided for realizing automatic and high-precision positioning of cervical cell nuclei by a computer. The invention also provides the abnormal cervical cell automatic identification method, and experiments show that the method realizes the ultrahigh-precision automatic identification of abnormal cervical cells, so that the diagnosis burden of pathologists is greatly reduced, the diagnosis efficiency and the precision of the cervical diseases are improved, and the method has very high practical value and huge social benefits.

The invention belongs to the field of cell treating fluid, and particularly relates to alkali solution based cell preservation treating fluid and a preparation method thereof. The alkali solution based cell preservation treating fluid is mainly composed of an egg white dissolution agent, a red blood cell cracking agent, an alkaline substance, a corrosion remover and distilled water. The alkali solution based cell preservation treating fluid is mainly used in cooperation with a membrane type liquid based thin-layer cell slide preparation machine and can enhance the cell adhesion capability of a modified glass slide, promote cervical cell enrichment so as to firmly attach cervical cells to the specially-prepared glass slide and effectively reduce the phenomenon of leak detection. Meanwhile, the novel alkali solution based cell preservation treating fluid has the advantages of being free of toxicity, environmentally friendly, capable of rapidly and thoroughly achieving sterilization, low in cost, convenient to configure, safe and efficient.

The invention discloses a cervical cell pathological slice image pathological cell identification method and system based on cell mass, which comprises the following steps: extracting a single cell mass region on the cervical pathological slice image; extracting the single cell mass region on the cervical pathological slice image; counting the size of the cell mass region, and treating the cell mass whose size exceeds a predetermined threshold value as a super-large cell mass; the superlarge cell mass being divided into daughter cell mass; the region to be recognized being obtained by boundaryfilling treatment of the cell cluster region other than the super-large cell cluster and the daughter cell cluster obtained by splitting; a lesion cell being identified in that region to be identified. The invention aims at the whole slice image of the massive pixels, takes the cell cluster as the processing and recognition unit, instead of the conventional image partition and fusion frame, whichis more suitable for the characteristics of the cervical cell pathological slice image, and improves the efficiency and the precision at the same time.

The invention discloses an irregular cervical cell cluster image classification method, which is characterized in that the method comprises the following steps: an off-line training sample set of a suspicious cell cluster is established, and a multi-resolution input three-channel neural network model is adopted to train a suspicious pathological cell cluster judgment model; Single cell cluster region was extracted from cervical pathological slice images, and the trained suspicious cell cluster decision model was used to determine the abnormality of each cell cluster. Mining the cell clusters that can not be judged correctly, as the training data input model focus on training. The invention takes the irregular cell cluster as the processing and identification unit, and utilizes the multi-resolution input three-channel neural network model to quickly identify the suspected pathological cell cluster, and simultaneously improves the identification accuracy and the identification efficiency.

The invention discloses a multicolor high-risk HPV (human papilloma virus) fluorescence detection kit which comprises a warm-boot Taq enzyme system, universal primers, fluorescent probes, a negative control and a positive control, wherein the fluorescent probes are HPV-specific MGB probes. The kit is suitable for qualitatively detecting 18 high-risk HPV genotypes capable of causing cervical carcinoma in cervix exfoliated cell and genitourinary tract secretion samples. The kit uses the multiplex fluorescence PCR (polymerase chain reaction) technique to implement detection of 18 HPV genotypes in one tube amplification system. The kit can simultaneously detect 15 common high-risk HPV genotypes (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68 and 82) and can also detect 3 rare high-risk HPV genotypes (26, 53 and 73). The detection kit has the advantage of high detection flux and greatly lowers the detection cost.

The invention provides an identification method for an atypical abnormal glandular cell in a uterine neck cell smear. According to the method, glandular cells are divided into glandular cell clustersof clear structure, indivisible glandular cell clusters and single glandular cells; for the glandular cell cluster of clear structure, arrangement information and appearance information of the glandular cells serve as two inputs of a double flow neural network model; the single glandular cell and the indivisible glandular cell cluster are input to a convolutional neural network model; and the twomodels output an identification result. The method can be used to improve the identification effect for the glandular cells with obvious arrangement structures, identification is more complete, and misidentification and identification omission are reduced.

The invention provides a cervical cancer screening detection kit. The kit comprises a p16/Ki-67 hybrid primary antibody, a hybrid enzyme-labeled secondary antibody and a staining solution, wherein thestaining solution comprises an AP-Red staining solution and a DAB staining solution, and the preparation method of the AP-Red staining solution comprises chromogen preparation, substrate preparationand staining solution preparation. A novel cervical cancer screening detection kit is provided in the technical scheme. The AP-Red staining solution of a novel formula is used in the kit, the chromogen in the staining solution possibly has multiple reactive groups, and the groups can react with groups on tissues so as to form covalent bonds, so that cervical cell slices using the kit can directlypass through organic reagents after staining, a water-based sealing agent does not need to be used for sealing the slices, bubbles are avoided, the thickness is controlled, the time and labor cost canbe saved, observation of staining results is prevented from being influenced, and the detection efficiency and detection quality are improved.

The invention provides a fine-grained cervical cell image three-stage identification method, which comprises the following steps: firstly, denoising a whole cervical cell image acquired by electronicimaging equipment to improve the image quality, removing a background to determine a foreground cell region, and segmenting out cell nucleuses and cytoplasm; secondly, extracting shape, color, textureand abstract features from the segmented cell regions, and carrying out selective fusion on the features by adopting a multi-kernel learning method so as to optimize a feature mode; and finally, removing non-cervical cell impurities according to the optimized characteristic mode, and performing multi-classification on the cervical cell images by adopting a cost-sensitive active learning method. The identification process system is complete, can extract medical features of multiple types of cervical cell images, performs selective fusion optimization on feature modes, removes impurities by using a cost-sensitive learning method, solves the problem of unbalanced dichotomy, and can effectively improve the accuracy of cervical cell classification and identification.

The invention provides a rapid scanning method and system for cervical exfoliated cell smears. An area of a cervical exfoliated cell biological sample is set to be in a circular shape, cell scanning without repeating and missing is achieved through sample boundary judgment, the thickness of the smears is detected to formulate the adjusting step size of a microscope, definition judgment is carriedout on up to seven positions in each scanning area, a camera is called for photographing at the position with the highest definition, the cell number is recorded, and the scanning accuracy is achieved; focusing adjustment is made into a pst file, and correcting and editing are facilitated; and the cell number is recorded synchronously in the scanning process, and scanning is stopped after the target number is reached through logical operation. Thus, the speed and accuracy of the scanning process flow are improved.

Oligonucleotide probes for analyzing 40 types of HPV were synthesized, and DNA chips were produced by using the oligonucleotide probes. The synthesis of the oligonucleotide probes is based on clones of L1 and E6/E7 genes of 35 types of HPV obtained from cervical cell specimens from 4,898 Korean adult women and tissue specimens from 68 cervical cancer cases in addition to information based on American and European cases. The DNA chips can analyze the 40 types of HPV found in cervical, diagnose complex infection by at least one type of HPV, and have excellent diagnostic sensitivity and specificity on HPV genetic type up to 100% and reproducibility. Also, the DAN chips are superior to conventional analytic method, and very economical, since they can analyze numerous specimens in shortest time. Accordingly, the DNA chips are useful for predicting cervical cancer and precancerous lesion.