Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_31565373c08678b1a7e68d5a1e4c5878 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10068 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30004 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-0005 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-00009 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-000094 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-0454 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-000096 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B1-00 |
filingDate |
2020-10-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3ff80a0eafcea3a0fadb7609db3a1d7a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_58684759ea5a0615acc6521eec1545d9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ae39547bacf1f9fdb370935348f24b40 |
publicationDate |
2021-02-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-2021052135-A1 |
titleOfInvention |
Endoscopic image processing method and system, and computer device |
abstract |
The present disclosure provides an endoscopic image processing method and system, and a computer device. The method can include acquiring a current endoscopic image of a to-be-examined user, and predicting the current endoscopic image by using a deep convolutional network based on a training parameter. The training parameter can be determined according to at least one first endoscopic image and at least one second endoscopic image transformed from the at least one first endoscopic image, where the at least one endoscopic image corresponds to a human body part. The method can further include determining an organ category corresponding to the current endoscopic image. The method provided in the present disclosure can make a prediction process more intelligent and more robust, thereby improving resource utilization of a processing apparatus. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114511749-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114464316-A |
priorityDate |
2018-10-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |