redlessone/DermLIP_PanDerm-base-w-PubMed-256
https://huggingface.co/redlessone/DermLIP_PanDerm-base-w-PubMed-256DermLIP is a vision-language model for dermatology, trained on the Derm1M dataset—the largest dermatological image-text corpus to date. This model variant (PanDerm-base-w-PubMed-256) utilizes domain-specific pretraining to deliver superior performance compared to other DermLIP variants..
Sourced from
- HuggingFace — redlessone/DermLIP_PanDerm-base-w-PubMed-256
Related resources
This repos contains the biomedicine MLLM developed from Qwen2.5-VL-3B-Instruct in our paper: On Domain-Adaptive Post-Training for Multimodal Large Language Models. The correspoding training dataset is in biomed-visual-instructions.
lingshu-medical-mllm/Lingshu-32B
by lingshu-medical-mllmWebsite 🤖 7B Model 🤖 32B Model MedEvalKit Technical Report Lingshu MCP
Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding