Deep learning PET/CT‐based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer

Deep learning PET/CT‐based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer

Abstract Background Radiomic diagnosis models generally consider only a single dimension of information, leading to limitations in their diagnostic accuracy and reliability. The integration of multiple dimensions of information into the deep learning model have the potential to improve its diagnosti...

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Bibliographic Details
Main Authors: Xiaolei Zhang, Xianling Dong, M. Iqbal bin Saripan, Dongyang Du, Yanjun Wu, Zhongxiao Wang, Zhendong Cao, Dong Wen, Yanli Liu, Mohammad Hamiruce Marhaban
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:Thoracic Cancer
Subjects:
clinical data
deep learning
lung cancer
radiomics
tuberculosis nodules
Online Access:https://doi.org/10.1111/1759-7714.14924

Internet

https://doi.org/10.1111/1759-7714.14924

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