| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b4711b7defc1422cdb7f86d2c95657bf |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-031
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10068
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/G06T2207-30096 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-32 |
| filingDate |
2020-08-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_00e77e4a52f0b010c72e2edeba4c88ef
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4f3d160ab9207116153fe83f5de43709
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d7a2814c275b6e0fafaf37a29b3ba8e6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7d5ded3df451f7ef454ebbc7e05003b8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8f05716c6cc8fe9072d5b99a2b948e06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_55012630e7a2418fcbe806f2813aa2b4 |
| publicationDate |
2020-12-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-112102256-A |
| titleOfInvention |
Detection and diagnosis system of early esophageal squamous cell carcinoma based on narrow-band endoscopic images |
| abstract |
The invention belongs to the technical field of medical image processing, in particular to a system for detecting and diagnosing early stage esophageal squamous cell carcinoma for narrow-band endoscopic images. The system of the invention includes feature extraction backbone network and feature pyramid, region candidate network, interest region pooling and cancer focus classification network, and a system for visualization on narrow-band imaging endoscopic images. The backbone network is used to extract the feature map of the input image; the feature pyramid is used to fuse the features of different scales; the region candidate network proposes possible lesion regions; the interest region pooling pools the features to the suspicious lesion region; the cancer lesion classification network The tumor foci are classified; finally, the visualization is performed on the narrow-band imaging endoscopic image, and the tumor foci are box-marked with different colors. The image of narrow-band imaging endoscope is input into the network model to detect and diagnose the early esophageal squamous cell carcinoma in the image, which can effectively improve the diagnostic efficiency and assist doctors to obtain higher diagnostic accuracy. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114419041-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113409264-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113409264-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115049666-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113643291-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113643291-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115049666-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114419041-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113269747-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112767375-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112767375-A |
| priorityDate |
2020-08-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |