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

Domaine:

healthcare

Type de record:

dataset

Créateur:

AnuDon

Éditeur:

Rad

Hôte:

The Brain Tumor Segmentation–Africa dataset is the first annotated publicly available brain imaging dataset from an African population; it contains three-dimensional MRI scans, retrospectively acquired from institutions in Nigeria, in 146 adult patients with preoperative brain tumors.

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

BraTS-Africa Dataset (Brain Tumor Segmentation Africa)

Brain tumor detection, segmentation, and diagnosis; medical image analysis. Notes / challenges: Lim

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

The International Brain Tumor Segmentation (BraTS) Cluster of Challenges

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

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

Abstract Background Automated brain

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