Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank

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Matthew T. MacLean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey

Published: 2021, Last Modified: 12 May 2025J. Am. Medical Informatics Assoc. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: The objective was to develop a fully automated algorithm for abdominal fat segmentation and to deploy this method at scale in an academic biobank.