| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0e9bca1120ab9d2f65b138f53e3eda4d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2654b6ab472819fd674e7b3d20ed704b |
| classificationCPCAdditional |
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/G06T2207-10068
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30028 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4255
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 |
| filingDate |
2022-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ae630b41eb3f32a9d0840a402f8c6620
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_062b9fc6639b76092c3cff8070839cfa
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1fecdae7b5d147a0ecf6f4aadd5941c4
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7b775b0840aed2e96139ead2414a3792
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7e7a6319019452c63e0a30f31f1e953a |
| publicationDate |
2022-12-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2022260380-A1 |
| titleOfInvention |
Lymph node metastasis prediction method using endoscopic resection sample image of early colon cancer, and analysis device |
| abstract |
A lymph node metastasis prediction method using an endoscopic resection sample image of early colon cancer, comprises steps in which: an analysis device receives a stained sample image of the colon area of a patient with colon cancer; the analysis device inputs the sample image into a deep learning model trained in advance; and the analysis device predicts, on the basis of a value output by the deep learning model having received the sample image, whether lymph node metastasis has occurred in the patient with colon cancer. The deep learning model receives patch images in which the whole sample image is divided into a plurality of areas, and outputs, on the basis of the feature about the whole sample image to which weights for the patch images are provided, a prediction value about whether lymph node metastasis has occurred in the patient. |
| priorityDate |
2021-06-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |