ANN uncertainty estimates in assessing fatty liver content from ultrasound data

ANN uncertainty estimates in assessing fatty liver content from ultrasound data

Background and objective: This article uses three different probabilistic convolutional architectures applied to ultrasound image analysis for grading Fatty Liver Content (FLC) in Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) patients. Steatosis is a new silent epidemic and its ac...

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Bibliographic Details
Main Authors: G. Del Corso, M.A. Pascali, C. Caudai, L. De Rosa, A. Salvati, M. Mancini, L. Ghiadoni, F. Bonino, M.R. Brunetto, S. Colantonio, F. Faita
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Bayesian uncertainty
Fatty liver content
Artificial neural networks
Ultrasound imaging
Uncertainty quantification
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024003088
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http://www.sciencedirect.com/science/article/pii/S2001037024003088

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