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awesome-multimodal-in-medical-imaging ★ 978 84 DATA_RESEARCH

This repository is a curated 'awesome list' of research resources on multimodal learning in medical imaging. It contains no application code, tests, or data pipelines; its sole substantive file is a large README.md that catalogs papers, datasets, benchmarks, and code repositories. Topics span medical vision-language models, report generation, visual question answering, retrieval-augmented generation (RAG), and multimodal LLMs. The list is organized by task and includes links to arXiv PDFs, GitHub code, and dataset sources, with badges indicating publication venues.

RATING: 7.9/10 MAINT: active DRIFT: low

#awesome-list #medical-imaging #multimodal-learning #vision-language-models #literature-review #medical-ai #deep-learning #rag #medical-report-generation #multimodal-deep-learning #visual-question-answering #large-language-models #large-multimodal-models #multimodal-large-language-models