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LIMITR is a multi-modal representation learning model for chest X-ray images and reports. The model is based on a novel alignment scheme between the visual data and the text, which takes into account both local and global information. Furthermore, the model integrates domain-specific information…
The main features of gefend/limitr are: Medical Vision Language Models.
Projects with overlapping indexed features include: aiming-lab/mmedpo — 1. Clone this repository and navigate to MMedPO folder ``bash git clone https://github.com/aiming-lab/MMedPO.git cd… alaalab/dr-llava — Generated by DALL·E 3. alibaba-damo-academy/medvr — MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning. alibaba-damo-academy/photon — Speedup Volume Understanding with Efficient Multimodal Large Language Models. aofei-chang/a3tune — Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha Kass-Hout, Cao Xiao, Fenglong Ma. agentichealthai/awesome-ai-agents-for-healthcare.
1. Clone this repository and navigate to MMedPO folder `bash git clone https://github.com/aiming-lab/MMedPO.git cd MMedPO `
MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning
