BraTS-Africa Dataset (Brain Tumor Segmentation Africa)

Domaine:

healthcare

Type de record:

dataset

Brain tumor detection, segmentation, and diagnosis; medical image analysis. Notes / challenges: Limited to brain tumors; ethical considerations for medical data; need for broader coverage of African patient data. also contains 146 patient scans; includes preprocessed NIfTI files; requires license agreement for access to full dataset

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

Gliomas are the most common type of primary brain tumors. Although gliomas are relatively rare, they

Expanding the Brain Tumor Segmentation (BraTS) data to include African Populations BraTS-Africa

The BraTS-Africa dataset contains a curated and annotated dataset from Africa. It includes scans of

The BraTS-Africa Dataset: Expanding the Brain Tumor Segmentation Data to Capture African Populations

The Brain Tumor Segmentation–Africa dataset is the first annotated publicly available brain imaging

Brain tumor segmentation in Sub-Saharan Africa patient population: The BraTS-Africa challenge

Abstract Background Automated brain

The International Brain Tumor Segmentation (BraTS) Cluster of Challenges

The International Brain Tumor Segmentation (BraTS) challenge. BraTS, since 2012, has focuse

Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset

Medical image segmentation is a critical achievement in modern medical science, developed over decad

BraTS-Africa Dataset (Brain Tumor Segmentation Africa)

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