Medical NLP resource for evaluations, datasets, papers, and models
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This repository serves as a comprehensive, community-driven hub for medical Natural Language Processing (NLP), aggregating resources for evaluations, competitions, datasets, pre-trained models, and research papers. It targets researchers, developers, and practitioners in the medical NLP domain, aiming to streamline access to critical tools and knowledge for advancing medical AI.
How It Works
The project functions as a curated index, linking to external resources rather than hosting them directly. It categorizes information into distinct sections, including benchmarks (CMB, CMExam, PromptCBLUE, MedBench), competitions (ongoing and past), and extensive lists of datasets for both LLMs and VLMs. It also provides pointers to pre-trained medical PLMs, LLMs, VLMs, relevant papers, open-source toolkits, and industrial solutions. The recent focus is on Medical VLM resources.
Quick Start & Requirements
This repository is a collection of links and does not have a direct installation or execution command. Users are directed to individual linked projects for setup and requirements.
Highlighted Details
Maintenance & Community
The repository is actively maintained by Rongsheng Wang, with contributions from Xidong Wang, Ziyue Lin, and Jing Tang. Recent updates (Nov 2024) indicate a focus on Medical VLM resources.
Licensing & Compatibility
The repository itself is not licensed as it is a collection of links. Users must refer to the individual linked projects for their respective licenses and compatibility terms.
Limitations & Caveats
As a curated index, the quality and availability of linked resources are external to this repository. Users must verify the status and licensing of each individual project. Some links may become outdated over time.
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