Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images

Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images

Abstract Radiomics refers to the utilization of automated or semi-automated techniques to extract and analyze numerous quantitative features from medical images, such as computerized tomography (CT) or magnetic resonance imaging (MRI) scans. This study aims to develop a deep learning radiomics (DLR)...

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Bibliographic Details
Main Authors: Jiameng Lu, Xinyi Liu, Xiaoqing Ji, Yunxiu Jiang, Anli Zuo, Zihan Guo, Shuran Yang, Haiying Peng, Fei Sun, Degan Lu
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Non-small cell lung cancer (NSCLC)
Deep learning
Programmed death-ligand 1(PD-L1).
Online Access:https://doi.org/10.1038/s41598-025-91575-y
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