http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110309855-A
Outgoing Links
Predicate | Object |
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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 |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID482532689 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23985 |
Total number of triples: 23.