| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a28e711b9cffb2aa01a4cba79ef5700c |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10064
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30041
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30101 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-62 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V40-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-26
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2022-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4f1a2a9ecc2ccbdff385fbe3fadd6c84
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1a2a678a850bd9da53634a389b325f2f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7e46c3daacda9b4c6e4570addb536a57
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_039b82caf54e01e3df3bf7d32af93897
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5bf2f99cd50a75f02b169ac3dec37264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f69e874b093fca9acc198ea8928efd7e |
| publicationDate |
2022-07-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114782452-A |
| titleOfInvention |
A fluorescein fundus angiography image processing system and device |
| abstract |
The present application belongs to the technical field of computer vision, and discloses a fluorescein fundus angiography image processing system and device. The system includes: an image preprocessing module for acquiring a fluorescein fundus angiography image to be processed, and analyzing the fluorescein fundus angiography image. The fundus angiography image is preprocessed; the lesion area and the non-perfusion area segmentation module in the lesion area are used to process the preprocessed fluorescein fundus angiography image through the pre-trained semantic segmentation model to determine the lesion area and the lesion. The non-perfusion area in the area; the ischemia index calculation module is used to obtain the area value of the lesion area and the area value of the non-perfusion area, and calculate the ischemia index suitable for clinical use corresponding to the fluorescein fundus angiography image. The present application can achieve the effects of segmenting the lesion area in the fluorescein fundus angiography image and the non-perfusion area in the lesion area, realizing lesion quantification, and being applicable to various retinal diseases. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115330714-A |
| priorityDate |
2022-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |