Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images

Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images

Purpose: This study evaluates the use of deep learning techniques to automatically extract and delineate the aortic valve annulus region from contrast-enhanced cardiac CT images. Two approaches, namely, segmentation and object detection, were compared to determine their accuracy. Materials and Metho...

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Bibliographic Details
Main Authors: Soichiro Inomata, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Cardiovascular Development and Disease
Subjects:
deep learning
convolution neural network
aortic valve
Online Access:https://www.mdpi.com/2308-3425/12/1/3
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