7 datasets found

Groups: Medical Image Segmentation Organizations: No Organization

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  • Decathlon dataset

    A large annotated medical image dataset for the development and evaluation of segmentation algorithms.

  • BraTS 2020

    Automatic segmentation of brain tumors is an essential but challenging step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis,...

  • 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,...

  • 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...

  • BRATS18

    The BRATS18 multi-modal brain tumor dataset is used for training and testing the proposed TC-MGAN model.

  • BraTS21 dataset

    The BraTS21 dataset consists of 1251 brain MRI scans of four different weightings (T1, T1-CE, T2, FLAIR).

  • Brain Tumor Segmentation

    Brain Tumor Segmentation dataset contains images of brain tumors from MRI scans. The dataset is used for automatic segmentation of brain tumors.