Machine learning-based radiomics for differentiating lung cancer subtypes in brain metastases using CE-T1WI

Machine learning-based radiomics for differentiating lung cancer subtypes in brain metastases using CE-T1WI

ObjectivesThe purpose of this research was to create and validate radiomic models based on machine learning that can effectively discriminate between primary non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) in individuals with brain metastases (BMs) by utilizing high-dimensional...

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Bibliographic Details
Main Authors: Xueming Xia, Wei Du, Qiheng Gou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Oncology
Subjects:
radiomics
magnetic resonance imaging
lung cancer
brain metastases
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1599882/full
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