Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency

Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency

Graph neural networks could compare the difference among all samples (nodes in graph) and transmit the interrelationship among them to obtain a global landscape. Compared with radiomics and clinical feature‐based machine learning methods, whether a graph convolutional neural network (GCNN) based on...

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Bibliographic Details
Main Authors: Renjie Xu, Zhanlue Liang, Dan Wang, Rui Zhang, Jiayi Li, Lingfeng Bi, Kai Zhang, Weimin Li
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Advanced Intelligent Systems
Subjects:
computed tomography
deep learning
graph neural networks
multimodal features
personalized diagnoses
pulmonary nodules
Online Access:https://doi.org/10.1002/aisy.202400874
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https://doi.org/10.1002/aisy.202400874

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