Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms

Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms

ObjectiveThis study aims to construct an effective prediction model for the two-year postoperative survival probability of patients with non-small cell lung cancer (NSCLC). It particularly focuses on integrating radiomics features, including the erector spinae and whole-lung imaging features, to enh...

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Bibliographic Details
Main Authors: Hanlin Wang, Yuan Hong, Zimo Zhang, Kang Cheng, Bo Chen, Renquan Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Medicine
Subjects:
NSCLC
erector spinae muscle
radiomics
artificial intelligence
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1517765/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1517765/full

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