Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients

Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients

Manual segmentation of muscle and adipose compartments from computed tomography (CT) axial images is a potential bottleneck in early rapid detection and quantification of sarcopenia. A prototype deep learning neural network was trained on a multi-center collection of 3413 abdominal cancer surgery su...

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Bibliographic Details
Main Authors: Leanne L. G. C. Ackermans, Leroy Volmer, Leonard Wee, Ralph Brecheisen, Patricia Sánchez-González, Alexander P. Seiffert, Enrique J. Gómez, Andre Dekker, Jan A. Ten Bosch, Steven M. W. Olde Damink, Taco J. Blokhuis
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
sarcopenia
deep learning neural network
automated segmentation
computed tomography
Online Access:https://www.mdpi.com/1424-8220/21/6/2083

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https://www.mdpi.com/1424-8220/21/6/2083

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