| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5ae2cd4104a3eb3956fd36b5a1fc9ad3 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10056
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-698
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40 |
| filingDate |
2020-12-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_078e65723cf33aae1a1f65cbe32386fc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f2e06972a50c9772c6af3f3b3ee89beb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7a0999951172ef7a68b004865c08642b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_18fa6792e4ff2113a19d334db22dcce5 |
| publicationDate |
2021-07-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2021141742-A1 |
| titleOfInvention |
Systems and methods for processing electronic images for computational assessment of disease |
| abstract |
Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen, determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further a cancer quantification if the cancer qualification is an confirmed cancer qualification, providing the digital image as an input to the detection machine learning model, receiving one of a pathological complete response (pCR) cancer qualification or a confirmed cancer quantification as an output from the detection machine learning model, and outputting the pCR cancer qualification or the confirmed cancer quantification. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/SE-2151185-A1 |
| priorityDate |
2020-01-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |