A novel hybrid layer-based encoder–decoder framework for 3D segmentation in congenital heart disease

A novel hybrid layer-based encoder–decoder framework for 3D segmentation in congenital heart disease

Abstract The segmentation of cardiac anatomy represents a crucial stage in accurate diagnosis and subsequent treatment planning for patients with congenital heart disease (CHD). However, the current deep learning-based segmentation networks are ineffective when applied to 3D medical images of CHD be...

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Bibliographic Details
Main Authors: Yaoxi Zhu, Hongbo Li, Bingxin Cao, Kun Huang, Jinping Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Congenital heart disease
Cardiac segmentation
3D CT image
Deep learning
Hybrid architectures
Online Access:https://doi.org/10.1038/s41598-025-96251-9
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