http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109859159-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate | 2018-11-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-10-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-10-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109859159-B |
| titleOfInvention | Cervical lesion region segmentation method and device based on multi-mode segmentation network |
| abstract | The invention discloses a cervical lesion area segmentation method and device based on a multi-modal segmentation network, belongs to the technical field of medical image processing, and fuses the characteristics of an acetic acid image and an iodine image in a cross connection mode in the characteristic extraction process of the two images. In order to fuse the characteristics of the two images, the acetic acid image characteristic of the previous volume block and the iodine image of the next volume block are spliced at a channel level, and then the iodine image is branched and then subsequent characteristic learning is carried out; similarly, the iodine image feature of the previous volume block and the acetic acid image feature of the next volume block are spliced, and then the acetic acid image is branched for subsequent feature learning. Such cross-connection continues until the fifth convolution block, and the characteristics of the acetic acid image and the iodine image output from the fifth convolution block substantially maintain the characteristics of both images. Then, the features learned from the acetic acid image branch and the iodine image branch are respectively entered into the FCN model segment to perform segment prediction. |
| priorityDate | 2018-11-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 16.