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Diagnosing gangrenous cholecystitis on computed tomography using deep learning: A preliminary study
AIM: To compare deep learning and experienced physicians in diagnosing gangrenous cholecystitis using computed tomography images and explore the feasibility of diagnostic assistance for acute cholecystitis requiring emergency surgery. METHODS: This retrospective study included 25 patients with patho...
Autores principales: | Okuda, Yoichi, Saida, Tsukasa, Morinaga, Keigo, Ohara, Arisa, Hara, Akihiro, Hashimoto, Shinji, Takahashi, Shinji, Goya, Tomoaki, Ohkohchi, Nobuhiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487185/ https://www.ncbi.nlm.nih.gov/pubmed/36187450 http://dx.doi.org/10.1002/ams2.783 |
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