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Spleen dataset
The dataset used for training and testing the proposed deep co-training method for semi-supervised image segmentation. -
Public Benchmark for Cardiac Substructure Segmentation
A public benchmark for the cardiac substructure segmentation task, which consists of 20 unpaired CT and 20 MRI images from 40 patients. -
Medical Cross-Modality Domain Adaptation Benchmark
A medical cross-modality domain adaptation benchmark proposed in [6] to validate the performance of our proposed unsupervised cross-modality domain adaptation method for... -
PET-CT lymphoma dataset
The PET-CT dataset contains 3D images from 173 patients who were diagnosed with large B-cell lymphomas and underwent PET-CT examination. -
Microscopy Images
Microscopy Images dataset was from the NeurIPS 2022 Cell Segmentation Challenge [34] that focused on cell segmentation in various microscopy images. -
Endoscopy Images
Endoscopy images dataset was from the MICCAI 2017 EndoVis Challenge [1] that focused on segmenting seven instruments from endoscopy images. -
Abdomen MRI
Abdomen MRI dataset was from the MICCAI 2022 AMOS Challenge [25] that also focused on abdominal organ segmentation. -
Abdomen CT
Abdomen CT dataset was from the MICCAI 2022 FLARE Challenge [35] that focused on the segmentation of 13 abdominal organs, including the liver, spleen, pancreas, right kidney,... -
Medical Image Segmentation dataset
The dataset contains images of medical images and corresponding labels. -
Multi-Atlas Labeling Beyond the Cranial Vault (BTCV)
The BTCV dataset contains abdominal CT images for segmentation tasks. -
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical I...
Automatic segmentation of medical images is a key step for diagnostic and interventional tasks. However, achieving this requires large amounts of annotated volumes, which can be... -
Abdominal Multi Organ Segmentation 2022 (AMOS2022) challenge dataset
The Abdominal Multi Organ Segmentation 2022 (AMOS2022) challenge dataset contains 500 CT and 100 MRI scans collected from multiple sites, a wide range of imaging conditions, and... -
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... -
ISBI 2013 Challenge
The ISBI 2013 challenge dataset is a collection of medical images with corresponding segmentations. -
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata
Medical image segmentation with Deep Learning. This requirement makes it difficult to run state-of-the-art segmentation models in resource-constrained scenarios like primary... -
Amos: A large-scale abdominal multi-organ benchmark for versatile medical ima...
A large-scale abdominal multi-organ benchmark for versatile medical image segmentation -
Prostate MR and Abdominal CT
Two large multiclass data sets for prostate MR and abdominal CT -
Multi-view multi-stage and multi-window framework for pulmonary artery segmen...
A multi-view multi-stage and multi-window framework for pulmonary artery segmentation from CT scans -
Prostate, cardiac cine-MRI, inner ear, and long-axis echocardiographic image ...
The dataset used for prostate segmentation in radiotherapy, cardiac cine-MRI segmentation, inner ear segmentation, and long-axis echocardiographic image segmentation.
