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ChestX-ray14
Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated... -
VinDr-Mammo dataset
A large-scale benchmark dataset for full-field digital mammography. -
OMI-H and VinDr-Mammo datasets
Two datasets used for training and testing the MAM-E model, one for healthy mammograms and one for mammograms with lesions. -
BIMCV-COVID19 Dataset
BIMCV-COVID19 Dataset -
GraphXCOVID
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays -
COVID-19 Detection from X-ray Images
The dataset for COVID-19 detection from X-ray images of the chest. -
SSL-MAE dataset for TransUNet
Self-supervised learning dataset for TransUNet pretraining -
Wrist US bony region segmentation dataset
Children’s wrist ultrasound scans dataset for bony region segmentation -
WMH Segmentation Challenge
White matter hyperintensity (WMH) segmentation challenge dataset -
COVIDx CXR-3
The COVIDx CXR-3 dataset is a large-scale, open-source benchmark dataset of chest X-ray images for computer-aided COVID-19 diagnostics. -
Planning CT and structure datasets for 120 intact prostate cancer patients
Planning CT and structure datasets for 120 intact prostate cancer patients were retrospectively selected and divided for 10-fold cross-validation. -
Transparent adaptation in deep medical image diagnosis
Transparent adaptation in deep medical image diagnosis. -
Ai-enabled analysis of 3-d ct scans for diagnosis of covid-19 & its severity
Ai-enabled analysis of 3-d ct scans for diagnosis of covid-19 & its severity. -
A large imaging database and novel deep neural architecture for covid-19 diag...
A large imaging database and novel deep neural architecture for covid-19 diagnosis. -
COVID-19 CT Database (COV19-CT-DB)
COVID-19 CT Database (COV19-CT-DB) is a dataset used for Covid-19 Detection and Covid-19 Domain Adaptation Challenges. -
Memorization in Unconditional Latent Diffusion Models
A chest X-ray dataset, a knee MRI dataset, and a PCCTA dataset were used to assess memorization in unconditional latent diffusion models for medical image synthesis. -
ATLAS dataset
The ATLAS dataset is used for stroke MRI generation. The dataset contains 220 T1w images, which have diverse stroke lesions. -
BRATS 2018 dataset
The BRATS 2018 dataset is used for brain tumor MRI generation. 210 subjects in the training dataset labeled as ’HGG3.’
