A strategy for the automatic diagnostic pipeline towards feature-based models: a primer with pleural invasion prediction from preoperative PET/CT images

A strategy for the automatic diagnostic pipeline towards feature-based models: a primer with pleural invasion prediction from preoperative PET/CT images

Abstract Background This study aims to explore the feasibility to automate the application process of nomograms in clinical medicine, demonstrated through the task of preoperative pleural invasion prediction in non-small cell lung cancer patients using PET/CT imaging. Results The automatic pipeline...

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Bibliographic Details
Main Authors: Xiangxing Kong, Annan Zhang, Xin Zhou, Meixin Zhao, Jiayue Liu, Xinliang Zhang, Weifang Zhang, Xiangxi Meng, Nan Li, Zhi Yang
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:EJNMMI Research
Subjects:
Pleural invasion
Non-small cell lung cancer
Radiomics
Deep learning
Predictive diagnostic modeling
Online Access:https://doi.org/10.1186/s13550-025-01264-0
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https://doi.org/10.1186/s13550-025-01264-0

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