| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7c273e10b5c6cf688f12411bf17de7a0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d9de52bba13e16028dffa8775e3f3f28 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30242
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/G06T2207-10056 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate |
2021-07-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_89cb1b3631fff7ed608e5d7d709bdecd
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4cfca863fa0e75cd9c81f35e6ddb37e0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_648543d8f5bc3c6026e91b70d4e08961
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9749764494374b5f6a2461a5563cbdc7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_39a12b7d618465bd9ec89f0fab9a5ec6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c500b95088ded7abde1d2c570cce6481
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bc3f9039cd6d83cf8cb3352d8ed39fb3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7330aab54dc4449a657b37a6eff1472c |
| publicationDate |
2021-09-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-113408480-A |
| titleOfInvention |
Artificial intelligence-aided diagnosis system for blood diseases based on bone marrow cell morphology |
| abstract |
The invention relates to an artificial intelligence aided diagnosis system for blood diseases based on bone marrow cell morphology, comprising: an image acquisition module for acquiring Wright-stained bone marrow images and cytochemically stained bone marrow and peripheral blood images; an image analysis module for The Wright-stained bone marrow images and cytochemically-stained bone marrow and peripheral blood images are input into the trained deep network model, and the effective characteristics of bone marrow morphology are learned by integrating medical diagnosis expertise, and the bone marrow morphology of cases based on deep learning is effectively obtained. The relevant parameters of the feature; the disease type judgment module, which is used to analyze the bone marrow morphological parameters of the case and identify the disease type of the case to be diagnosed by using a machine learning method based on knowledge reasoning and clinical experience fusion. The invention can realize high-accuracy artificial intelligence (Artificial Intelligence, AI) auxiliary diagnosis of bone marrow morphology. |
| priorityDate |
2021-07-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |