IEEE

Channel-Gated Transformers With Affinity CAM for Weakly Supervised Multi-Class Brain Tumor Segmentation

Abstract: Precise tumor localization and sub-region identification are critical for disease diagnosis. However, current Weakly Supervised Semantic Segmentation (WSSS) methods for brain tumor ...
IEEE

Brain Tumor Segmentation using Adaptive Kernel K-Means Clustering and U-Net Architecture

Abstract: Precise segmentation of brain tumors from MRI images is essential for diagnosis and treatment planning, although it remains difficult due to tumor heterogeneity and intricate anatomical ...
GitHub

QuangMacHUST/segmentation-tumor-nnunet

data/ ├── training/ # 137 bệnh nhân │ ├── BN2240/ │ │ ├── 14 PET WB AC HD.nrrd # File PET │ │ ├── 5 CTAC 3.75mm.nrrd # File CT │ │ └── Segmentation.seg.nrrd # File segmentation mask ...
Scientific Research Publishing

Adewole, M., Rudie, J.D., Gbadamosi, A., Toyobo, O., Raymond, C., Zhang, D., et al. (2023) The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub ...

ABSTRACT: Background: Glioblastoma is the most common and aggressive primary malignant brain tumor in adults. In Togo, its management is challenged by late diagnosis, limited neurosurgical resources, ...