Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization

Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization

An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in many clinical applications, such as cardiovascular disease diagnosis, pre-surgical planning, and intraoperative treatment. Manual whole-heart s...

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Bibliographic Details
Main Authors: Marija Habijan, Irena Galić, Hrvoje Leventić, Krešimir Romić
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
artificial intelligence
cardiac CT
cardiac MRI
deep learning
ResNet
variational autoencoder
Online Access:https://www.mdpi.com/2076-3417/11/9/3912

Internet

https://www.mdpi.com/2076-3417/11/9/3912

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