Manual sperm motility assessment is challenging; hence, computer-assisted sperm analysis (CASA) is used. We introduce VISEM-Tracking dataset with expert annotations, enabling deep learning models like YOLOv5 for accurate sperm analysis, improving accuracy and reliability in sperm motility evaluation
VinDr-Mammo: The largest public dataset of full-field digital mammography to evaluate and compare algorithmic support systems for breast cancer screening
VinDr-CXR: The largest public chest X-ray dataset with radiologist-generated annotations for machine learning-based computer-aided diagnosis (CAD)
Policy relevant health related liveability indicator datasets for addresses in Australia’s 21 largest cities
The 2018 Australian National Liveability Study datasets provide a baseline set of policy-relevant health-related spatial indicators of local neighbourhood liveability and amenities for residential addresses and areas across Australia to support planning and research for healthy, sustainable cities.
We present a synchronized multimodal neuroimaging dataset for studying brain language processing (SMN4Lang) that contains fMRI and MEG data on the same 12 healthy volunteers while the volunteers listened to 6 hours of naturalistic stories.