A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT

A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT

Abstract Objective New, intermediate-sized nodules in lung cancer screening undergo follow-up CT, but some of these will resolve. We evaluated the performance of a multi-view convolutional neural network (CNN) in distinguishing resolving and non-resolving new, intermediate-sized lung nodules. Materi...

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Bibliographic Details
Main Authors: Jingxuan Wang, Xiaowen Zhang, Wei Tang, Marcel van Tuinen, Rozemarijn Vliegenthart, Peter van Ooijen
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Insights into Imaging
Subjects:
Pulmonary nodule
Computed tomography
Deep learning
Convolutional neural networks
Online Access:https://doi.org/10.1186/s13244-025-02000-x
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https://doi.org/10.1186/s13244-025-02000-x

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