Deep learning techniques for imaging diagnosis and treatment of aortic aneurysm
Legang Huang,
Jiankuan Lu,
Ying Xiao
et al.
Abstract:ObjectiveThis study aims to review the application of deep learning techniques in the imaging diagnosis and treatment of aortic aneurysm (AA), focusing on screening, diagnosis, lesion segmentation, surgical assistance, and prognosis prediction.MethodsA comprehensive literature review was conducted, analyzing studies that utilized deep learning models such as Convolutional Neural Networks (CNNs) in various aspects of AA management. The review covered applications in screening, segmentation, surgical planning, a… Show more
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