CPC G06T 7/0012 (2013.01) [G06F 18/2148 (2023.01); G06T 7/11 (2017.01); G06T 7/68 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/30101 (2013.01); G06V 2201/03 (2022.01)] | 20 Claims |
1. A method of determining a significance score associated with a medical imaging dataset of a patient, the medical imaging dataset including image data of a plurality of coronary arteries of a-the patient, and the method comprising:
automatically partitioning each among the plurality of coronary arteries, into one or more coronary artery segments to obtain a plurality of coronary artery segments;
extracting a representation of a section of each among the plurality of coronary artery segments, from the medical imaging data-set to obtain a plurality of representations;
extracting one or more features from each among the plurality of representations, each among the one or more features including quantitative information of a corresponding coronary artery among the plurality of coronary arteries;
performing a combining operation based on the one or more features extracted for all among the plurality of representations to obtain a global set of features;
determining the significance score based on the global set of features; and
outputting the significance score.
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