http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113889233-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_70a57471adb10e40785c3c694e731ea8 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40 |
| filingDate | 2021-09-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dc77005186c1ac99a5c5ab74e8b7eada http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b8d26cdd0b8e7200e8f76288e9233348 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c07dfaade3de752955036fffaad12d54 |
| publicationDate | 2022-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113889233-A |
| titleOfInvention | Cell Location and Counting Method and Application Based on Manifold Regression Network |
| abstract | The invention belongs to the technical field of medical image processing, and in particular relates to a cell counting and positioning method based on an end-to-end manifold regression network. The main steps of the invention include: automatically generating the density map of the cell image according to the point label; designing a regression network and introducing a manifold regular term to constrain the network, so as to realize the supervised learning of the density map; post-processing the estimated density map to obtain the number of cells with positioning coordinates. The invention can effectively realize cell positioning and counting only by using point labels, saves the labor and time cost of labeling work, and makes full use of the spatial morphological structure of the cell image, and the proposed sub-graph-based manifold regular term can accurately Describe the complex nonlinear features of images, thereby improving the generalization ability of the network and reducing the risk of overfitting. It has important application value in cell detection and disease diagnosis based on biomedical digital images. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114627010-A |
| priorityDate | 2021-09-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419532778 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5464436 |
Total number of triples: 26.