Machine learning‐based radiomics to distinguish pulmonary nodules between lung adenocarcinoma and tuberculosis

Abstract Background Radiomics is increasingly utilized to distinguish pulmonary nodules between lung adenocarcinoma (LUAD) and tuberculosis (TB). However, it remains unclear whether different segmentation criteria, such as the inclusion or exclusion of the cavity region within nodules, affect the re...

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Bibliographic Details

Published in:	Thoracic Cancer
Main Authors:	Yuan Li, Baihan Lyu, Rong Wang, Yue Peng, Haoyu Ran, Bolun Zhou, Yang Liu, Guangyu Bai, Qilin Huai, Xiaowei Chen, Chun Zeng, Qingchen Wu, Cheng Zhang, Shugeng Gao
Format:	Article
Language:	English
Published:	Wiley 2024-02-01
Subjects:	lung adenocarcinoma machine learning pulmonary nodule radiomics tuberculosis
Online Access:	https://doi.org/10.1111/1759-7714.15216