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.
Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding
Large Language and Vision Assistant for bioMedicine (i.e., “LLaVA-Med”) is a large language and vision model trained using a curriculum learning method for adapting LLaVA to the biomedical domain. It is an open-source release intended for research use only to facilitate reproducibility of the…
Model documentation: MedGemma