Automated fracture screening using an object detection algorithm on whole-body trauma computed tomography

The emergency department is an environment with a potential risk for diagnostic errors during trauma care, particularly for fractures. Convolutional neural network (CNN) deep learning methods are now widely used in medicine because they improve diagnostic accuracy, decrease misinterpretation, and im...

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Detalles Bibliográficos
Autores principales: Inoue, Takaki, Maki, Satoshi, Furuya, Takeo, Mikami, Yukio, Mizutani, Masaya, Takada, Ikko, Okimatsu, Sho, Yunde, Atsushi, Miura, Masataka, Shiratani, Yuki, Nagashima, Yuki, Maruyama, Juntaro, Shiga, Yasuhiro, Inage, Kazuhide, Orita, Sumihisa, Eguchi, Yawara, Ohtori, Seiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529907/
https://www.ncbi.nlm.nih.gov/pubmed/36192521
http://dx.doi.org/10.1038/s41598-022-20996-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529907/
https://www.ncbi.nlm.nih.gov/pubmed/36192521
http://dx.doi.org/10.1038/s41598-022-20996-w

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