3DUV-NetR+: A 3D hybrid semantic architecture using transformers for brain tumor segmentation with MultiModal MR images

3DUV-NetR+: A 3D hybrid semantic architecture using transformers for brain tumor segmentation with MultiModal MR images

Brain tumor segmentation plays a substantial role in Medical Image Analysis (MIS). In this regard, automatic segmentation methods facilitate precise and efficient segmentation, significantly contributing to diagnosis and treatment planning in medical applications. Recently, several Deep Learning-bas...

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Bibliographic Details
Main Authors: Ilyasse Aboussaleh, Jamal Riffi, Khalid el Fazazy, Adnane Mohamed Mahraz, Hamid Tairi
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Engineering
Subjects:
Semantic segmentation
Deep learning
U-net
V-net
Attention mechanism
Transformers
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024001452

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http://www.sciencedirect.com/science/article/pii/S2590123024001452

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