Automatic recognition of adrenal incidentalomas using a two-stage cascade network: a multicenter study

Automatic recognition of adrenal incidentalomas using a two-stage cascade network: a multicenter study

Background The incidence of adrenal incidentalomas (AIs) is increasing yearly. The early discovery of AIs is helpful to better manage adrenal diseases, especially subclinical primary aldosteronism, Cushing’s syndrome and pheochromocytoma.Methods In this multicenter retrospective study, a total of 77...

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Main Authors: Xiao Xie, Sheng-Xiao Ma, Xiang-De Luo, De-Ying Liao, Dong Han, Zhi-Peng Huang, Zhi-Hua Chen, Xian-Ping Li, Bo Li, Shi-Di Hu, Yan-Jun Chen, Peng-Fei Liu, De-Zhong Zheng, Hui Xia, Cun-Dong Liu, Shan-Chao Zhao, Ming-Kun Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Annals of Medicine
Subjects:
Adrenal incidentalomas
deep learning
machine learning
radiomics
CT
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2025.2540596
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https://www.tandfonline.com/doi/10.1080/07853890.2025.2540596

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