Predicting spread through air space of lung adenocarcinoma based on deep learning and machine learning models

Abstract Objective The aim of this study was to develop a machine learning model that can predict spread through air space (STAS) of lung adenocarcinoma preoperatively. STAS is associated with poor prognosis in invasive lung adenocarcinoma. Therefore non-invasive and accurate pre-surgical prediction...

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Bibliographic Details
Main Authors: Zengming Wang, Lingxin Kong, Bin Li, Qingtao Zhao, Xiaopeng Zhang, Huanfen Zhao, Wenfei Xue, Wei Li, Shun Xu, Guochen Duan
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Journal of Cardiothoracic Surgery
Online Access:https://doi.org/10.1186/s13019-025-03568-7
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