Brain Tumor Segmentation - Groups

BraTS 2021

Multi-parametric MRI scans from 2000 patients were used for BraTS2021, 1251 of which were provided with segmentation labels to the participants for developing their algorithms,...

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One-pass multi-task convolutional neural networks for efficient brain tumor s...

One-pass multi-task convolutional neural networks for efficient brain tumor segmentation.

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No NewNet

No NewNet: A simple and efficient approach to brain tumor segmentation.

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3D MRI brain tumor segmentation using deep convolutional neural networks

3D MRI brain tumor segmentation using deep convolutional neural networks.

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BraTS

Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled data is important in many clinical applications. In recent years, deep learning-based...

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BraTS2021

Anomaly detection is the process of identifying atypical data samples that significantly deviate from the majority of the dataset. In the realm of clinical screening and...

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BraTS2018

The BraTS2018 database is a continually evolving database with a total of 285 glioblastoma or low-grade gliomas subjects, comprising three consecutive subsets, i.e., 30 subjects...

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7 datasets found