Learning Robust Features Alignment for Cross Domain Medical Image Analysis via Dual Consistency Regularizations
We provide skin disease datasets and COVID-19 datasets for domain adaptation from dermatoscopy to smartphones, and from typical pneumonia to COVID-19.
Skin diseases classification: ISIC dataset, HAM10000 dataset and PAD-UFES-20 dataset. We collected and integrated the following open-source datasets on skin diseases:
https://www.kaggle.com/datasets/rajivaiml/isic-skin-cancer-dataset
https://www.kaggle.com/datasets/surajghuwalewala/ham1000-segmentation-and-classification
https://data.mendeley.com/datasets/zr7vgbcyr2/1
COVID-19 classification:COVID-19 chest radiograph dataset, COVID-19 X-ray dataset and RSNA pneumonia challenge dataset. Specific links to open source datasets are below:
https://www.kaggle.com/tawsifurrahman/covid19-radiography-database
https://www.kaggle.com/c/rsna-pneumonia-detection-challenge/data