TransResUNet: Revolutionizing Glioma Brain Tumor Segmentation Through Transformer-Enhanced Residual UNet

TransResUNet: Revolutionizing Glioma Brain Tumor Segmentation Through Transformer-Enhanced Residual UNet

Accurate segmentation of brain tumors from MRI (Magnetic Resonance Imaging) sequences is essential across diverse clinical scenarios, facilitating precise delineation of anatomical structures and disease-affected areas. This study presents an innovative deep-learning method for segmenting glioma bra...

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Bibliographic Details
Main Authors: Novsheena Rasool, Javaid Iqbal Bhat, Niyaz Ahmad Wani, Naveed Ahmad, Mohammed Alshara
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Glioma
segmentation
MRI
ResNet-transformer
deep learning
Online Access:https://ieeexplore.ieee.org/document/10534774/

Internet

https://ieeexplore.ieee.org/document/10534774/

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