MedFuseNet: fusing local and global deep feature representations with hybrid attention mechanisms for medical image segmentation

MedFuseNet: fusing local and global deep feature representations with hybrid attention mechanisms for medical image segmentation

Abstract Medical image segmentation plays a crucial role in addressing emerging healthcare challenges. Although several impressive deep learning architectures based on convolutional neural networks (CNNs) and Transformers have recently demonstrated remarkable performance, there is still potential fo...

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Bibliographic Details
Main Authors: Ruiyuan Chen, Saiqi He, Junjie Xie, Tao Wang, Yingying Xu, Jiangxiong Fang, Xiaoming Zhao, Shiqing Zhang, Guoyu Wang, Hongsheng Lu, Zhaohui Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Medical image segmentation
Deep learning
Convolutional neural networks
Swin-Transformer
Hybrid attention mechanisms
Online Access:https://doi.org/10.1038/s41598-025-89096-9
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https://doi.org/10.1038/s41598-025-89096-9

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