http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113421270-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_9f9ca1c5f19050d56de609ab3512023d |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20004 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate | 2021-07-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e9901ce351a7aa12c260458b0bee2099 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3fd1d6b46259229408ca6ad75a47e473 |
| publicationDate | 2021-09-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113421270-A |
| titleOfInvention | Method, system, device, processor and storage medium for realizing adaptive segmentation of medical image domain based on single-center calibration data |
| abstract | The invention relates to a method for realizing adaptive segmentation of medical image domain based on single-center calibration data, wherein the method includes: extracting gold standard calibration data in an original input image, and inputting it into a segmentation network model for image segmentation processing; Image segmentation results; fix the parameters included in the segmentation network model, and input the gold standard calibration data and uncalibrated data; extract the gold standard calibration data feature map and The uncalibrated data feature map is input to the domain discriminant network model for type determination; according to the determination result, the loss of domain discrimination accuracy is obtained, so as to optimize the parameters of the domain discriminant network model. The present invention also relates to a corresponding system, device, processor and storage medium thereof. By adopting the method, system, device, processor and storage medium of the present invention, and using confrontation training, accurate and rapid segmentation of the region of interest can be achieved. |
| priorityDate | 2021-07-05-04:00^^<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/SID482532689 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23985 |
Total number of triples: 22.