Researchers have released a new dataset of endoscopic retrograde cholangiopancreatography (ERCP) images to address the scarcity of public data for AI-driven medical diagnosis. The dataset comprises over 19,000 raw and processed images from more than 1,600 patients, with 5,519 images manually labeled by experienced gastroenterologists. This curated collection is intended to serve as a benchmark for automated ERCP analysis and disease diagnosis. AI
IMPACT This dataset could accelerate the development of AI tools for diagnosing biliary and pancreatic diseases.
RANK_REASON The cluster is about a new dataset release for AI research, published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- artificial intelligence
- arXiv
- Carina Costa
- DagsHub
- endoscopic retrograde cholangiopancreatography
- Gotit.pub
- Hugging Face
- Mónica Martins
- ScienceCast
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →