Preliminary exploratory study on differential diagnosis between benign and malignant peripheral lung tumors: based on deep learning networks

Preliminary exploratory study on differential diagnosis between benign and malignant peripheral lung tumors: based on deep learning networks

BackgroundDeep learning has shown considerable promise in the differential diagnosis of lung lesions. However, the majority of previous studies have focused primarily on X-ray, computed tomography (CT), and magnetic resonance imaging (MRI), with relatively few investigations exploring the predictive...

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Bibliographic Details
Main Authors: Yuan Wang, Yutong Zhang, Yongxin Li, Tianyu She, Meiqing He, Hailing He, Dong Zhang, Jue Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
ultrasound imaging
deep learning
peripheral lung tumors
differential diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1567545/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1567545/full

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