http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110309855-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_671c8f9e045c7595860c53744873750b
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-232
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
filingDate 2019-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0c71721b1da8ee76944f20a1c53f52e1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4fc6f4fbae45c863e65da623a54ab624
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bee6cd073b62e5643ea14c52c9e09570
publicationDate 2019-10-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110309855-A
titleOfInvention Image segmentation training method, computer equipment and storage medium
abstract The present application relates to a training method for image segmentation, an image segmentation method, computer equipment and a storage medium. The training method includes: obtaining training sample images with multiple structures to be segmented; inputting the training sample images into the first sub-network of the initial segmentation network to perform feature extraction processing to obtain a feature map with multi-channel features; sub-blocks, and input multiple sub-blocks into the second sub-network of the initial segmentation network for segmentation processing to obtain the segmentation results of each sub-block; The network parameters are adjusted to obtain the trained segmentation network. Since this method inputs multiple small blocks in the feature map into the second sub-network of the initial segmentation network, that is, each small block is segmented, it greatly reduces the occupation of GPU memory and improves the performance of the neural network. The efficiency of network model training.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111325281-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111402164-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111161270-A
priorityDate 2019-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID482532689
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23985

Total number of triples: 23.