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ORIGA Dataset
The ORIGA dataset contains 650 fundus images with 168 glaucomatous eyes and 482 normal eyes. -
MMWHS Dataset
The MMWHS dataset, a dataset for multi-modality whole heart segmentation. -
CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data
Dataset for abdominal organ segmentation -
AASCE dataset
The AASCE dataset, which contains spinal anterior-posterior X-ray images of 352 subjects. -
Cephalometric X-ray dataset
The Cephalometric X-ray dataset, which contains 6,504 cephalometric X-ray images of 4,280 subjects without overlapping patients in each set. -
Deep Variational Clustering Framework for Self-labeling of Large-scale Medica...
The proposed framework is composed of two networks (see Fig 1). The encoder network q with parameters of φ computes qφ(z|x) : xi → zi. The encoder maps an input image xi ∈ X to... -
BloodMNIST
BloodMNIST is a medical imaging dataset containing 9,000 images of blood samples, each with a size of 224x224x3. -
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... -
Medical Decathlon
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. -
VFSS2022 dataset
The VFSS2022 dataset is a collection of 440 CT frames from Videofluoroscopic Swallowing Studies (VFSS) for instance segmentation in medical CT videos. -
NIH pancreas segmentation dataset
The NIH pancreas segmentation dataset contains 82 abdominal CT volumes. The width and height of each volume are 512, while the axial view slice number can vary from 181 to 466.... -
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
Fast MRI aims to reconstruct a high fidelity image from partially observed measurements. Exuberant development in fast MRI using deep learning has been witnessed recently.... -
Multiorgan Lesion Segmentation (MLS) dataset
A new Multiorgan Lesion Segmentation (MLS) dataset that contains images of various organs, including brain, liver, and lung, across different imaging modalities—MR and CT.
