| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_28a271df64c0adc233ea7302734c9dcb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_62c657b3dfa201bfe913b59d4346fcee
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_39770248238389dd869fdaef87983879 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30068
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30028
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-698
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2413
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-69 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H80-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-40 |
| filingDate |
2021-01-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_30766ac57fc99924a098039ecf6baf3a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_60b157e59bdde878095ac07c3a1d80ea
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_379bfaa707e1686eb9b83421c06aa38e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dc6fad3075a75f8d099c331a79fb2bdb |
| publicationDate |
2021-07-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2021142449-A1 |
| titleOfInvention |
Deep learning models for tumor evaluation |
| abstract |
A method of determining a clinical value for an individual based on a tumor in an image by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to determine a lymphocyte distribution of lymphocytes in the tumor based on the image; apply a classifier to the lymphocyte distribution to classify the tumor, the classifier having been trained to classify tumors into a class selected from at least two classes respectively associated with lymphocyte distributions; and determine the clinical value for the individual based on prognoses of individuals with tumors in the class into which the classifier classified the tumor. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023018343-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023141210-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023139570-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113610177-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023018344-A1 |
| priorityDate |
2020-01-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |