Artificial intelligence–based technology for semi-automated segmentation of rectal cancer using high-resolution MRI

AIM: Although MRI has a substantial role in directing treatment decisions for locally advanced rectal cancer, precise interpretation of the findings is not necessarily available at every institution. In this study, we aimed to develop artificial intelligence-based software for the segmentation of re...

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Detalles Bibliográficos
Autores principales: Hamabe, Atsushi, Ishii, Masayuki, Kamoda, Rena, Sasuga, Saeko, Okuya, Koichi, Okita, Kenji, Akizuki, Emi, Sato, Yu, Miura, Ryo, Onodera, Koichi, Hatakenaka, Masamitsu, Takemasa, Ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205476/
https://www.ncbi.nlm.nih.gov/pubmed/35714069
http://dx.doi.org/10.1371/journal.pone.0269931

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205476/
https://www.ncbi.nlm.nih.gov/pubmed/35714069
http://dx.doi.org/10.1371/journal.pone.0269931

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