http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020234233-A1

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filingDate 2020-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bf5e919c9f0536f71706c541c8f146e4
publicationDate 2020-11-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2020234233-A1
titleOfInvention Method, device and computer-readable medium for automatically classifying a coronary lesion according to the cad-rads classification using a deep neuronal network
abstract The invention relates to a computer-implemented method for determining the presence of a coronary lesion for a patient, comprising a first step of receiving at least one curvilinear or stretched multiplanar tomodensitometry (X-ray scan) medical image of a coronary artery of said patient. The invention is characterized in that it also comprises a step of determining a value according to the CAD-RADS (Coronary Artery Disease – Reporting and Data System) classification of a coronary lesion on said image or on a portion of said image by using a first trained deep neuronal network applied directly to the images or portions of images detected.
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Total number of triples: 30.