Automated Detection and Differentiation of Stanford Type A and Type B Aortic Dissections in CTA Scans Using Deep Learning

Automated Detection and Differentiation of Stanford Type A and Type B Aortic Dissections in CTA Scans Using Deep Learning

Background/Objectives: To develop and validate a model system using deep learning algorithms for the automatic detection of type A aortic dissection (AD), and differentiate it from normal and type B AD patients. Methods: In this retrospective study, a deep learning model is developed, based on aorti...

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Bibliographic Details
Main Authors: Hung-Hsien Liu, Chun-Bi Chang, Yi-Sa Chen, Chang-Fu Kuo, Chun-Yu Lin, Cheng-Yu Ma, Li-Jen Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Diagnostics
Subjects:
deep learning
aortic dissection
computed tomography
Online Access:https://www.mdpi.com/2075-4418/15/1/12
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