CPC G06T 7/11 (2017.01) [G06F 18/24 (2023.01); G06T 7/0014 (2013.01); G06T 17/20 (2013.01); G06V 10/26 (2022.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G06T 2200/08 (2013.01); G06T 2207/30004 (2013.01); G06V 2201/03 (2022.01)] | 30 Claims |
1. A method for defining a patient specific anatomical features from 2D medical images, the method comprising:
receiving, by a server, 2D medical images of a patient comprising one or more patient specific anatomical features and background information;
automatically processing, by the server, the 2D medical images using a segmentation algorithm to classify each pixel of the 2D medical images;
using, by the server, an anatomical feature identification algorithm to probabilistically match the classified pixels of the 2D medical images against a database of medical image anatomical features and generate a score for the classified pixels indicative of a likelihood that the classified pixel was classified correctly; and
generating, by the server, a dataset comprising the classification and the score for each pixel of the one or more patient specific anatomical features of the 2D medical images of the patient for defining the patient specific anatomical feature.
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