http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-WO2018225448-A1
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-273 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30092 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10068 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10024 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/G06T2207-30028 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30032 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20076 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-143 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-000096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-00016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B1-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B1-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B1-273 |
| filingDate | 2018-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-07-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | JP-WO2018225448-A1 |
| titleOfInvention | Diagnosis support method for diseases by endoscopic image of digestive organs, diagnosis support system, diagnosis support program, and computer-readable recording medium storing the diagnosis support program |
| abstract | A method for assisting diagnosis of diseases by endoscopic images of digestive organs using a neural network is provided. A method for diagnosing a disease by an endoscopic image of a digestive organ using a neural network, comprising: a first endoscopic image of the digestive organ and a digestive organ of the digestive organ corresponding to the first endoscopic image. A neural network is trained using the positive or negative of the disease, the past disease, the level of severity, or at least one definitive diagnosis result of information corresponding to the imaged site, and the trained neural network. Is based on the second endoscopic image of the digestive system, the probability of positive and/or negative disease of the digestive system, the probability of past disease, the level of severity of disease, or the imaged site. It is characterized in that at least one of the corresponding information is output. |
| priorityDate | 2017-06-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 48.