Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information - ScienceDirect

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Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net

Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information - ScienceDirect

Magnetic resonance imaging-based brain tumor image classification performance enhancement - ScienceDirect

Advance brain tumor segmentation using feature fusion methods with deep U-Net model with CNN for MRI data - ScienceDirect

Brain tumor segmentation of the FLAIR MRI images using novel ResUnet - ScienceDirect

Vision transformers in multi-modal brain tumor MRI segmentation: A review - ScienceDirect

Advance brain tumor segmentation using feature fusion methods with deep U-Net model with CNN for MRI data - ScienceDirect

Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI - ScienceDirect

PDF) Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization

DenseUNet+: A novel hybrid segmentation approach based on multi-modality images for brain tumor segmentation - ScienceDirect

Advance brain tumor segmentation using feature fusion methods with deep U-Net model with CNN for MRI data - ScienceDirect

A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation