-
Multiphase Cardiac CT Scans Dataset
The dataset used in the paper is a multiphase cardiac CT scans dataset, which consists of 50 mitral valve prolapse patients and 50 coronary artery disease patients. -
BraTS 2020: self-ensembled, deeply-supervised 3D U-Net CNNs
Brain tumor segmentation is a critical task for patient’s disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks,... -
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer...
Modern biomedical image analysis using deep learning often encounters the challenge of limited annotated data. To overcome this issue, deep generative models can be employed to... -
Low-dose CT image denoising dataset
The dataset used for training and testing deep neural networks-based denoising models for CT imaging. -
Lung Nodule Dataset
The dataset used in this paper is a collection of 51 seed images of lung nodules, which are used to train an autoencoder-based system to generate synthetic 3D lung nodule images. -
CAMELYON-17
CAMELYON-17 consists of 145 positive slides and 353 negative slides, where positive patches occupying less than 10% of the tissue area in positive slides. -
Multi-Image VQA for Unsupervised Anomaly Detection
Unsupervised anomaly detection dataset for multi-image visual question answering -
EyePACS dataset
The EyePACS dataset is a collection of retinal fundus images of individuals potentially suffering from diabetic retinopathy (DR), an eye disease associated with diabetes that is... -
Liver Lesion Classification
Liver lesion dataset for classification using synthetic data augmentation -
Dynamic PET Imaging Dataset
The dataset used in the paper for posterior estimation of dynamic PET imaging using Conditional Variational Inference -
COVID-19 chest X-ray dataset
COVID-19 chest X-ray dataset is the largest open access benchmark dataset in terms of the number of COVID-19 positive patient cases. -
Coronary Artery Extraction Dataset
A dataset containing 616 ICAs obtained from 210 patients used for training and testing the U-Net 3+ model for automatic extraction of coronary arteries. -
Cine-MRI dataset for cardiac segmentation and classification
Three-dimensional cine-MRI dataset for cardiac segmentation and classification -
Dataset for Cerebral Microbleeds Detection
A dataset used for training and testing machine learning models for cerebral microbleeds detection. -
CIRS 040GSE phantom dataset
The dataset used for training and validation of the proposed method for ultrasound image reconstruction.
