3D Dual-Fusion Attention Network for Brain Tumor Segmentation
date
Jun 5, 2023
slug
pub-fusionbrainseg
status
Published
tags
Publication
summary
3D Brain Tumor Segmentaion using method 3D-Dual Fusion Attention base on Fusion method, Attention mechanism, and Residual learning.
type
Post
Abtract
Brain tumor segmentation problem has challenges in the tumor diversity of location, imbalance, and morphology. Attention mechanisms have recently been used widely to tackle medical segmentation problems efficiently by focusing on essential regions. In contrast, the fusion approaches enhance performance by merging mutual benefits from many models. In this study, we proposed a 3D dual fusion attention network to combine the advantages of fusion approaches and attention mechanisms by residual self-attention and local blocks. Compared to fusion approaches and related works, our proposed method has shown promising results on the BraTS 2018 dataset.
Method
Paper
