Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mi Hyoung Moon"'
Autor:
Won Sang Shim, Kwangil Yim, Tae-Jung Kim, Yeoun Eun Sung, Gyeongyun Lee, Ji Hyung Hong, Sang Hoon Chun, Seoree Kim, Ho Jung An, Sae Jung Na, Jae Jun Kim, Mi Hyoung Moon, Seok Whan Moon, Sungsoo Park, Soon Auck Hong, Yoon Ho Ko
Publikováno v:
Cancers, Vol 13, Iss 13, p 3308 (2021)
The prognosis of patients with lung adenocarcinoma (LUAD), especially early-stage LUAD, is dependent on clinicopathological features. However, its predictive utility is limited. In this study, we developed and trained a DeepRePath model based on a de
Externí odkaz:
https://doaj.org/article/80a6bc8bd5b04b07930b12b571fa07bb
Autor:
Gyeongyun Lee, Won Sang Shim, Jae Jun Kim, Yeoun Eun Sung, Sang Hoon Chun, Yoon Ho Ko, Mi Hyoung Moon, Soon Auck Hong, Seok Whan Moon, Sung-Soo Park, Sae Jung Na, Ho Jung An, Kwangil Yim, Ji Hyung Hong, Tae-Jung Kim, Seoree Kim
Publikováno v:
Cancers, Vol 13, Iss 3308, p 3308 (2021)
Cancers
Volume 13
Issue 13
Cancers
Volume 13
Issue 13
Simple Summary Pathology images are vital for understanding solid cancers. In this study, we created DeepRePath using multi-scale pathology images with two-channel deep learning to predict the prognosis of patients with early-stage lung adenocarcinom