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...

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Detalles Bibliográficos
Autores principales: Okuda, Yoichi, Saida, Tsukasa, Morinaga, Keigo, Ohara, Arisa, Hara, Akihiro, Hashimoto, Shinji, Takahashi, Shinji, Goya, Tomoaki, Ohkohchi, Nobuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
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

Internet

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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