11 datasets found

Groups: Medical Image Segmentation Organizations: No Organization

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  • Atrial Segmentation Challenge dataset

    Semantic object segmentation is a fundamental task in medical image analysis and has been widely used in automatic delineation of regions of interest in 3D medical images, such...

  • DRIVE

    The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.

  • GlaS dataset

    The GlaS dataset contains 165 H&E-stained histopathology patches extracted from 16 WSIs.

  • 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...

  • V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segme...

    The V-Net is a deep learning model for medical image segmentation that uses a U-Net architecture.

  • Breast Ultrasound Dataset

    The dataset in this paper comes from the database of the Ultrasound Imaging Department of Peking University Shenzhen Hospital.

  • U-Net

    The dataset used in this paper for medical image segmentation, including images from the ISBI-2012 dataset.

  • Medical Segmentation Decathlon (MSD) dataset

    The Medical Segmentation Decathlon (MSD) dataset contains 282 CT scans in portal venous phase, all of which are pathological cases with pancreas and tumor annotation.

  • BUSI

    The BUSI dataset is a collection of ultrasound images depicting normal, benign, and malignant breast cancer cases along with their corresponding segmentation maps.

  • CAMUS dataset

    The CAMUS dataset includes 450 annotated patient sub-datasets consisting of TTE apical four- and two-chamber views.