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Thoracic Dataset
A thoracic-abdominal (Thoracic) dataset containing 407 pairs of CT images from an anthropomorphic thoracic phantom. -
Real Piglet Dataset
A real dataset acquired from a deceased piglet containing 900 images with 100KV p, 0.625mm thickness. -
Simulated Low-Dose CT Dataset
A simulated low-dose CT dataset generated from normal-dose CT images to be used for training a deep neural network to remove noise from low-dose CT images. -
Ridge-based vessel segmentation in color images of the retina
Ridge-based vessel segmentation in color images of the retina. -
Osteoarthritis Initiative (OAI) dataset
Knee OsteoArthritis (KOA) dataset used for early detection of KOA (KL-0 vs KL-2) using Vision Transformer (ViT) model with selective shuffled position embedding and key-patch... -
Shenzhen Tuberculosis
The dataset for fine-tuning (target domains) includes Shenzhen Tuberculosis and COVID-19 Image Data Collection. -
VinBigData Chest X-ray Abnormalities Detection
The dataset for fine-tuning (target domains) includes VinBigData Chest X-ray Abnormalities Detection, Shenzhen Tuberculosis, and COVID-19 Image Data Collection. -
NIH ChestX-ray
The dataset for fine-tuning (target domains) includes NIH ChestX-ray, VinBigData Chest X-ray Abnormalities Detection, Shenzhen Tuberculosis, and COVID-19 Image Data Collection. -
Clinical Cardiac Datasets
The dataset used for testing the proposed Data-iterative Optimization Score Model (DOSM) for stable ultra-sparse-view CT reconstruction. -
AAPM 2016 CT Low Dose Challenge
The dataset used for training and testing the proposed Data-iterative Optimization Score Model (DOSM) for stable ultra-sparse-view CT reconstruction. -
HECKTOR 2021 dataset and TCIA dataset
The HECKTOR 2021 dataset and a TCIA dataset were used for the study. -
HECTOR challenge dataset and TCIA HNC dataset
Two public datasets for Head and Neck tumor segmentation were used in the study: the HECTOR challenge dataset and the TCIA HNC dataset. -
COV19-CT-DB
The COV19-CT-DB dataset contains chest CT scans marking the existence of COVID-19. It consists of about 1,650 COVID and 6,100 non-COVID chest CT scan series from over 1,150... -
ADNI-1, UCSF, and SRI International datasets
The dataset used in the paper is a collection of 1262 t1-weighted brain MRIs of subjects from three different datasets: the Alzheimer’s Disease Neuroimaging Initiative (ADNI-1),... -
Liver Segmentation using Turbolift learning for CT and Cone-beam C-arm Perfus...
Liver segmentation using Turbolift learning for CT and Cone-beam C-arm Perfusion Imaging -
COVID-19-20_v2
COVID-19-20_v2 -
COVID-19 CT scans
COVID-19 CT scans -
COVID-19&Normal&Pneumonia CT Images
COVID-19 CT images of the lungs, ground glass turbidity is the most common finding that requires specialist diagnosis.
