http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114822820-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5d586297ef97cb61945cd70b75b6cec4 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-532 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-55 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-55 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-532 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate | 2022-05-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_23d75fde0605ac9eab6ce7decf87c077 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_81003913908b0fe4ae2903b57090f9d7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1dc80a747fa58294c46e66896a300baf http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5eec8b446bf951638b3cc4aaa1dee4a9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ff8d3b7049ef224eb16a90dcca1c8bd0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_814d438e60a8972103464965be24e483 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4995ebe6c982abbcd12a3b29ea093d80 |
| publicationDate | 2022-07-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114822820-A |
| titleOfInvention | A preferred integrated system and method for real-time supervision of continuous deep learning models |
| abstract | The invention discloses an optimal integrated system and method for realizing real-time supervision of continuous deep learning models, including a continuous learning subsystem, a data processing module, an optimal model generation module, a diagnosis module, a data storage module, a pathological type database, a pathological disease database, and an optimal model. Database and ultrasound PACS subsystem, the implementation method includes step 1, data set construction; step 2, algorithm optimization; step 3, system development; step 4, system application; The supervision of the model can ensure the stability of the diagnostic performance of the integrated system; the integrated system of the present invention has continuous learning ability, and its diagnostic ability is continuously improved with the stage learning, which ensures the accuracy of the diagnostic results; the present invention adopts the model integrated design, The integrated system can output a variety of diagnostic results, which plays a very important auxiliary role for doctors to identify diseases. |
| priorityDate | 2022-05-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 30.