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Cardiac MRI dataset
The cardiac dataset is a dataset of MRI images acquired from 100 subjects, with 10 images per subject, using 32 channels and 3T MRI scanner. -
Deep learning to improve breast cancer detection on screening mammography
A deep learning approach for breast cancer detection on screening mammography. -
Physion Dataset
The Physion dataset provides training, validation, and testing data for seven scenarios, such as dominoes and support, involving rigid-body objects colliding as well as one... -
Random Sample of NIH Chest X-ray dataset
Pneumothorax can be a deadly disease and there is a need to correctly identify it in time. With the advancement in deep learning technology, and its ability to make... -
AVENUE trial and HARBOR trial
Two large OCT datasets from clinical trials on patients with neovascular age-related macular degeneration. -
Kaggle US simulation & segmentation dataset
Kaggle US simulation & segmentation dataset is a dataset of ultrasound images, annotated with eight anatomical structures. -
AbdomenCT-1K
AbdomenCT-1K dataset is a large-scale dataset of abdominal CT scans, annotated with four anatomical structures: liver, kidney, spleen, and pancreas. -
MS Lesion Segmentation dataset
Multiple Sclerosis Lesion Segmentation dataset -
LiTS dataset
Liver lesion segmentation dataset -
Breast Ultrasound Dataset
The dataset in this paper comes from the database of the Ultrasound Imaging Department of Peking University Shenzhen Hospital. -
LV intraventricular septum (IVS), internal diameter (LVID), and posterior wal...
LV intraventricular septum (IVS), internal diameter (LVID), and posterior wall (LVPW) dimensions were annotated in parasternal long axis 2DE scans. -
Laryngeal Dataset for Comparative Study on CNN Based Semantic Segmentation
A novel dataset of laryngeal endoscopic images with ground truth segmentation maps for comparative study on CNN-based semantic segmentation. -
HyperKvasir
HyperKvasir is a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. -
EndoUDA: A modality independent segmentation approach for endoscopy imaging
Gastrointestinal (GI) cancer precursors require frequent monitoring for risk stratification of patients. Automated segmentation methods can help to assess risk areas more... -
AUTOMI CT dataset
The AUTOMI CT dataset, consisting of full-body CT scans from the Humanitas Research Hospital in Milan. -
CHAOS CT and MRI dataset
The dataset used in this work, consisting of CT scans of the abdominal region from the CHAOS challenge, and MRI scans of the same region from the CHAOS challenge. -
PET Imaging with AI
A dataset for PET imaging with AI applications -
Pulmonary Tree Repairing (PTR) dataset
A dataset for topology repairing of disconnected pulmonary airways and vessels -
RIGA dataset
Retinal fundus images for glaucoma analysis: the RIGA dataset.