CPC G06T 7/0012 (2013.01) [G06T 7/11 (2017.01); G06T 7/149 (2017.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30044 (2013.01)] | 20 Claims |
1. A method comprising:
applying automated assessment for a fetus based on imaging data obtained during medical imaging examination of the fetus, wherein the applying the automated assessment comprises:
processing imaging data corresponding to a plurality of a cross-section imaging slices corresponding to a limb of the fetus, wherein the processing comprises for each imaging slice:
automatically generating a predicted outer mask corresponding to contour of the limb cross-section based on application of a first pre-trained model to imaging data corresponding to the imaging slice; and
automatically generating a segmentation of fat-lean region for the imaging slice based on application of a second pre-trained model to both of the imaging data corresponding to the imaging slice and the generated predicted outer mask; and
applying based on the processing of the imaging data corresponding to the plurality of the cross-section imaging slices:
a fractional limb volume assessment; and
a fat-lean mass assessment.
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