http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104933446-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-03 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2415 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2015-07-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2018-09-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2018-09-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-104933446-B |
| titleOfInvention | A method for verifying the validity of B-ultrasound features in computer-aided diagnosis of mammary glands |
| abstract | The invention relates to a method for verifying the effectiveness of computer-aided diagnosis of breast B-ultrasound features. Firstly, the image set of breast B-ultrasound lesion areas is divided into a training set and a verification set, and all B-ultrasound lesion area images are given image features and Text features; then binary code the text features of all sample images in the training set and verification set; then complete the training of VALIDATION_RBM for breast B-ultrasound feature verification based on the training set; finally, the trained VALIDATION_RBM is used as the feature verification tool. Even in the absence of class label information, the present invention can still make full use of the mapping relationship between mammogram B-ultrasound image analysis text and image features to verify the validity of image features. |
| priorityDate | 2015-07-15-04:00^^<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/compound/CID5460341 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419559505 |
Total number of triples: 13.