Deep convolutional neural network for rib fracture recognition on chest radiographs

IntroductionRib fractures are a prevalent injury among trauma patients, and accurate and timely diagnosis is crucial to mitigate associated risks. Unfortunately, missed rib fractures are common, leading to heightened morbidity and mortality rates. While more sensitive imaging modalities exist, their...

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Principais autores:	Shu-Tien Huang, Liong-Rung Liu, Hung-Wen Chiu, Ming-Yuan Huang, Ming-Feng Tsai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-08-01
coleção:	Frontiers in Medicine
Assuntos:	deep convolutional neural network (DCNN) rib fracture deep learning model (DLM) chest radiographs artificial intelligence (AI) transfer learning
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmed.2023.1178798/full
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