Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images.

Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense pain and disability. These conditions lead to 30 million emergency room visits yearly, and the numbers are only increasing. However, diagnosing musculoskeletal issues can be challenging, especially in emerge...

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Bibliographic Details
Main Authors:	Laith Alzubaidi, Asma Salhi, Mohammed A Fadhel, Jinshuai Bai, Freek Hollman, Kristine Italia, Roberto Pareyon, A S Albahri, Chun Ouyang, Jose Santamaría, Kenneth Cutbush, Ashish Gupta, Amin Abbosh, Yuantong Gu
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2024-01-01
Series:	PLoS ONE
Online Access:	https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0299545&type=printable

Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images by Laith Alzubaidi, Asma Salhi, Mohammed A.Fadhel, Jinshuai Bai, Freek Hollman, Kristine Italia, Roberto Pareyon, A. S. Albahri, Chun Ouyang, Jose Santamaría, Kenneth Cutbush, Ashish Gupta, Amin Abbosh, Yuantong Gu

Published 2024-01-01

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Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images.

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