Healthcare & Medical Imaging Datasets

These datasets are specialized for biomedical applications, often containing imaging, diagnostic data, EEG scans, or physiological readings. They're essential for AI in healthcare, especially for building models in radiology, diagnostics, and epidemiology.

Tools:

• OASIS Brains Dataset – MRI imaging data for dementia and aging-related cognitive research. Widely used in medical imaging ML research.

• SCID Dataset (IIT Madras) – Facial emotion dataset collected in lab environments for affective computing and facial analysis research.

• UFAL NLP Healthcare – Clinical NLP datasets and workshops aimed at named entity recognition and concept detection in EHRs.