http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2020173204-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c97f90ab12b35b650d5fd039ed7a41a5 |
| classificationIPCInventive | 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/G01N21-64 |
| filingDate | 2019-04-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_959108ce4cfa0df2f5c8b066ff38a1d3 |
| publicationDate | 2020-10-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | JP-2020173204-A |
| titleOfInvention | Image processing system, image processing method and program |
| abstract | PROBLEM TO BE SOLVED: To efficiently perform high-precision analysis. According to an image processing system 1, a control unit 61 acquires a tissue image obtained by photographing a tissue sample 50, and extracts an image of a specific region for re-imaging from the acquired tissue image. Therefore, the control unit 61 acquires a cell image in which the cell morphology in the tissue sample 50 is visualized and a target substance image in which the target substance in the tissue sample 50 is visualized, and the cell density feature based on the cell image. An image of a specific region is extracted according to the amount and the composite feature amount calculated from the target substance feature amount based on the target substance image. [Selection diagram] Fig. 1 |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022102748-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022249598-A1 |
| priorityDate | 2019-04-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 37.