Enhancing brain tumor segmentation in MRI images: A hybrid approach using UNet, attention mechanisms, and transformers-Reference-Cited by-同舟云学术

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Enhancing brain tumor segmentation in MRI images: A hybrid approach using UNet, attention mechanisms, and transformers

Published:2024-09 Issue: Volume:27 Page:100528
ISSN:1110-8665
Container-title:Egyptian Informatics Journal
language:en
Short-container-title:Egyptian Informatics Journal

Author:

Nguyen-Tat Thien B.^ORCID,Nguyen Thien-Qua T.,Nguyen Hieu-Nghia,Ngo Vuong M.

Publisher

Elsevier BV

Reference62 articles.

1. MVFusFra: A multi-view dynamic fusion framework for multimodal brain tumor segmentation;Ding;IEEE J Biomed Health Inf,2022

2. A 3D cross-modality feature interaction network with volumetric feature alignment for brain tumor and tissue segmentation;Zhuang;IEEE J Biomed Health Inf,2023

3. Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN;Sun;Neurocomputing,2021

4. A multi-path adaptive fusion network for multimodal brain tumor segmentation;Ding;Neurocomputing,2020

5. Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI;Zhu;Inf Fusion,2023

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