Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d8243d916a8114baca3336be4e8d0524 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30032 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016 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/G06T2207-10068 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2090-373 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B90-37 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4255 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-000096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0014 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-000095 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B17-94 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-13 |
filingDate |
2019-06-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2021-09-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e1aa8a02567c85209a5ebcbf054eeee1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_078d71f74d4f0d389c3d93046c3545b7 |
publicationDate |
2021-09-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
AU-2019431299-B2 |
titleOfInvention |
AI systems for detecting and sizing lesions |
abstract |
An artificial intelligence (AI) platform, method and program product for detecting and sizing a lesion in real time during a clinical procedure. An AI platform is disclosed that includes: a trained classifier that includes a deep learning model trained to detect lesions and reference objects in image data; a real time video analysis system that receives a video feed during a clinical procedure, uses the trained classifier to determine if a video frame from the video feed has both a lesion and a reference object, calculates an actual size of the lesion based on a pixel size of both the lesion and the reference object, and outputs an indication that the lesion was detected and the actual size of the lesion. |
priorityDate |
2019-02-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |