An enhanced hierarchical Mamba-based cardiac segmentation network for cardiovascular analysis and disease diagnosis using multiple MRI datasets

This article introduces H-MayoMamba Net, a new Mamba-based deep learning algorithm designed for automatic cardiac segmentation using MRI datasets. The algorithm employs a hierarchical structure for local, regional, global, and context processing, demonstrating improved accuracy and cross-data generalization for critical cardiac segments. The research aims to advance digital cardiology by providing more effective AI tools for cardiovascular analysis.