CPC A61B 10/0233 (2013.01) [A61B 8/468 (2013.01); A61B 17/3403 (2013.01); G06T 7/10 (2017.01); A61B 2017/3413 (2013.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01)] | 20 Claims |
1. A computer-implemented method for using machine-learning-based image analysis to colorize a biopsy device in medical imaging, the method comprising:
obtaining ultrasound medical imaging of anatomy of a patient, the ultrasound medical imaging including a depiction of a medical device within the anatomy of the patient;
generating a segmentation of the medical device by inputting the ultrasound medical imaging into a trained machine-learning model that has been trained, based on (i) a plurality of training ultrasound images of medical devices and (ii) labels of different portions of the medical devices, to learn associations between the labels and the different portions of the medical devices, such that the trained machine-learning model is configured to use the learned associations to segment the depiction of the medical device in the ultrasound medical imaging into one or more portions corresponding to the labels;
modifying the ultrasound medical imaging by applying a color-coding to the depiction of the medical device based on the generated segmentation; and
causing a display to output the modified ultrasound medical imaging.
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