http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2019525151-A
Outgoing Links
Predicate | Object |
---|---|
classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30024 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-03 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2200-24 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20132 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2431 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/G06V20-698 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-58 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-48 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-483 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
filingDate | 2017-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2019-09-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | JP-2019525151-A |
titleOfInvention | Method and system for detecting pathological anomalies in digital pathological images and method for annotating tissue slides |
abstract | The present invention is implemented by a method for annotating tissue slide images, a system for detecting pathological abnormalities in digital pathological images, and a computing system for detecting pathological abnormalities in digital pathological images Related to the method. A method implemented by a computing system for detecting pathological anomalies in a digital pathological image includes providing a digital pathological image to a computing system and an identification module disposed on the computing system. Using to analyze the digital pathological image. The identification module uses a machine learning module to recognize an object including an abnormal image pattern using the identification model loaded in the identification module, and the abnormal image pattern is pathologically analyzed using the identification model. Identifying whether to respond to a physical abnormality. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2021206053-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20220164755-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022158908-A1 |
priorityDate | 2016-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 757.