76 datasets found

A vertebral labeling and segmentation benchmark for multi-detector CT images.

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.

The MoNuSeg dataset is published for the Multi-organ Nuclei Segmentation challenge in MICCAI 2018. The training dataset consists of 30 images generated from multiple organs...

The dataset is used for simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network.

The dataset is used for simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network.

The dataset is used for simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network.

The dataset is used for simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network.

A benchmark dataset for cell nuclei segmentation, featuring approximately 700 segmented cell images.

Breast cancer dataset for automatic detection, segmentation, and classification of breast lesions in mammography images

Surgical instrument segmentation aims to accurately identify and delineate surgical instruments in operative scenes.

Two publicly available datasets from the MICCAI surgical instruments segmentation challenge EndoVis 2017 and 2018.

The dataset consists of 56 annotated cases of aortic vessel tree acquired with computed tomography angiography (CTA).

A large dataset of breast MRI scans for segmentation of breast cancers

The BraTS’19 dataset is used for testing the proposed FNOSeg3D model. It contains 335 cases of gliomas, each with four modalities of T1, post-contrast T1, T2, and T2-FLAIR...

The dataset used for unsupervised cell nuclei segmentation in this paper.

The dataset used for unsupervised cell nuclei segmentation in this paper.

The dataset used for unsupervised cell nuclei segmentation in this paper.

The dataset used for unsupervised cell nuclei segmentation in this paper.

NuClick: A deep learning framework for interactive segmentation of microscopic images.

The National Agriculture Imagery Program (NAIP) dataset contains aerial photographs of agricultural lands.