Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules

Abstract Microinvasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) require distinct treatment strategies and are associated with different prognoses, underscoring the importance of accurate differentiation. This study aims to develop a predictive model that combines radiomics and deep lea...

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Detalhes bibliográficos

Principais autores:	Qian Sun, Lei Yu, Zhongquan Song, Can Wang, Wei Li, Wang Chen, Juan Xu, Shuhua Han
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-08-01
coleção:	Scientific Reports
Assuntos:	Ground-glass nodule Deep learning Radiomics Invasive adenocarcinoma Fusion model
Acesso em linha:	https://doi.org/10.1038/s41598-025-13447-9
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