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filingDate 2019-05-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f617286ada70a47bbd21549f41dc60c7
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publicationDate 2021-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2021204914-A1
titleOfInvention Automated tumor identification during surgery using machine-learning
abstract An ultrasound (US) system ( 10 ) includes a US scanner ( 14 ) and a US probe ( 12 ) operatively connected to the US scanner. At least one electronic processor ( 20 ) is programmed to: control the US scanner and US probe to acquire a series of preoperative images of a tumor and surrounding blood vessels in a region of interest (ROI) of a patient; provide a graphical user interface (GUI) ( 26 ) via which the acquired preoperative images are labeled with contours of the tumor and the surrounding blood vessels in the ROI; tune a trained neural network ( 30 ) for the patient using the labeled preoperative images to generate a patient-tuned trained neural network; perform live imaging by controlling the US scanner and US probe to acquire live images of the tumor and the surrounding blood vessels in the ROI of the patient; input the live images to the patient-tuned trained NN to output live contours of the tumor and the surrounding blood vessels; and control a display device ( 24 ) to display the live images with the live contours superimposed.
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