Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study

Multi-scale pathology image texture signature is a prognostic factor for resectable lung adenocarcinoma: a multi-center, retrospective study

Abstract Background Tumor histomorphology analysis plays a crucial role in predicting the prognosis of resectable lung adenocarcinoma (LUAD). Computer-extracted image texture features have been previously shown to be correlated with outcome. However, a comprehensive, quantitative, and interpretable...

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Bibliographic Details
Main Authors: Yumeng Wang, Xipeng Pan, Huan Lin, Chu Han, Yajun An, Bingjiang Qiu, Zhengyun Feng, Xiaomei Huang, Zeyan Xu, Zhenwei Shi, Xin Chen, Bingbing Li, Lixu Yan, Cheng Lu, Zhenhui Li, Yanfen Cui, Zaiyi Liu, Zhenbing Liu
Format: Article
Language:English
Published: BMC 2022-12-01
Series:Journal of Translational Medicine
Subjects:
Lung adenocarcinoma
Prognosis
Texture analysis
Whole slide image
Artificial intelligence
Online Access:https://doi.org/10.1186/s12967-022-03777-x

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