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

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

Abstract 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 unnec...

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Bibliographic Details
Main Authors: Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Hong-Kyu Shin, Jae-Ik Yoo, Se Won Oh, Jee Young Kim, Hyun Gi Kim, Young Joon Lee, Seo Yeon Youn, Sung-Hoo Hong, Sung-Jea Ko
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-021-00195-y

Internet

https://doi.org/10.1038/s41698-021-00195-y

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