SYSTEMS AND METHODS FOR AUTOMATED SPINE SEGMENTATION AND ASSESSMENT OF DEGENERATION USING DEEP LEARNING

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United States of America Patent

APP PUB NO 20240212852A1
SERIAL NO

18602373

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Abstract

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A deep learning-based system is provided for spine segmentation and classification. The method comprises: (a) receiving a medical image of a subject, where the medical image captures one or more structures of the subject; (b) applying a first deep network to the medical image and outputting a detection result, where the detection result comprises at least a segmentation map of the one or more structures and a location predicted for the one or more structures; (c) generating an input to a second deep network based at least in part on the location predicted in (b); and (d) predicting a degenerative condition for the one or more structures by processing the input using the second deep network.

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Patent Owner(s)

Patent OwnerAddress
SUBTLE MEDICAL INC883 SANTA CRUZ AVENUE SUITE 205 MENLO PARK CA 94025

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
GONG, Enhao Sunnyvale, US 27 144
WANG, Kai Menlo Park, US 565 3689
XIANG, Lei Shanghai, CN 10 16

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