Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography

In 2020, it is estimated that 73,750 kidney cancer cases were diagnosed, and 14,830 people died from cancer in the United States. Preoperative multi-phase abdominal computed tomography (CT) is often used for detecting lesions and classifying histologic subtypes of renal tumor to avoid unnecessary bi...

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Detalles Bibliográficos
Autores principales: Uhm, Kwang-Hyun, Jung, Seung-Won, Choi, Moon Hyung, Shin, Hong-Kyu, Yoo, Jae-Ik, Oh, Se Won, Kim, Jee Young, Kim, Hyun Gi, Lee, Young Joon, Youn, Seo Yeon, Hong, Sung-Hoo, Ko, Sung-Jea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213852/
https://www.ncbi.nlm.nih.gov/pubmed/34145374
http://dx.doi.org/10.1038/s41698-021-00195-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213852/
https://www.ncbi.nlm.nih.gov/pubmed/34145374
http://dx.doi.org/10.1038/s41698-021-00195-y

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