http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109509178-B
Outgoing Links
Predicate | Object |
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classificationCPCAdditional | 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/G06T2207-30041 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10101 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-194 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-194 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
filingDate | 2018-10-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2021-09-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2021-09-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-109509178-B |
titleOfInvention | A method for choroid segmentation in OCT images based on improved U-net network |
abstract | The invention discloses an OCT image choroid segmentation method based on an improved U-net network. The main improvement points of the U-net network include: (1) by increasing the number of encoders and decoders in the network to extract more feature information; (2) adding a refined residual block after the encoder to enhance the recognition ability of each layer; (3) adding an attention module after the decoder to let the high-level semantic information guide the low-level detail information; (4) the loss function adopts The traditional L2 loss and the Dice loss are combined to jointly constrain the network model, and the improved U-net network of the present invention can automatically segment the upper and lower boundaries of the choroid whether it is a normal human eye or a pathological myopic human eye, and the segmentation result has high accuracy. |
priorityDate | 2018-10-24-04:00^^<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/compound/CID23985 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID482532689 |
Total number of triples: 22.