HMSA-Net: A Hierarchical Multi-Scale Attention Network for Brain Tumor Segmentation From Multi-Modal MRI

This study introduces HMSA-Net, a Hierarchical Multi-Scale Attention Network designed for accurate brain tumor segmentation from multi-modal MRI scans. HMSA-Net employs a hierarchical encoder to capture multi-resolution features, complemented by full-scale skip connections that preserve spatial deta...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R. Naik
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Attention mechanisms brain tumor segmentation deep learning encoder–decoder architecture hierarchical multi-scale attention magnetic resonance imaging (MRI)
Online Access:	https://ieeexplore.ieee.org/document/11151976/