Medical image and video datasets can support biomedical research through training machine learning algorithms, particularly via image recognition and classification. These can be applied to problems in digital health informatics, such as disease detection, diagnosis, and screening.
This Collection presents a series of articles describing annotated datasets of medical images and video. Data are presented without hypotheses or significant analyses, to support improvements such as benchmarking or improving machine learning algorithms. All medical specialities are considered and data can be derived from study participants, tissue samples, electronic health records (EHRs) or other sources. All described datasets are assessed to ensure their open availability (where possible) or secure access controls (where required) via Scientific Data's editorial and peer review processes.
The submissions are open until 20th June 2023.
