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| title: MiniGPT-Med | |
| app_file: demo_v2.py | |
| sdk: gradio | |
| sdk_version: 3.47.1 | |
| # MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis | |
| Asma Alkhaldi, Raneem Alnajim, Layan Alabdullatef, Rawan Alyahya, Jun Chen, Deyao Zhu, Ahmed Alsinan, Mohamed Elhoseiny | |
| *Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST)* | |
| Website link: https://minigpt-med.github.io/ | |
| ## Installation | |
| ``` | |
| git clone https://github.com/Vision-CAIR/MiniGPT-Med | |
| cd MiniGPT-Med | |
| conda env create -f environment.yml | |
| conda activate miniGPT-Med | |
| ``` | |
| ## Download miniGPT-Med trained model weights | |
| * miniGPT-Med's weights [miniGPT-Med Model](https://drive.google.com/file/d/1kjGLk6s9LsBmXfLWQFCdlwF3aul08Cl8/view?usp=sharing) | |
| * Then modify line 8 at miniGPT-Med/eval_configs/minigptv2_eval.yaml to be the path of miniGPT-Med weight. | |
| ## Prepare weight for LLMs | |
| ### Llama2 Version | |
| ```shell | |
| git clone https://huggingface.co/meta-llama/Llama-2-7b-chat-hf | |
| ``` | |
| Then modify line 14 at miniGPT-Med/minigpt4/configs/models/minigpt_v2.yaml to be the path of Llama-2-7b-chat-hf. | |
| ## Launching Demo Locally | |
| ``` | |
| python demo_v2.py --cfg-path eval_configs/minigptv2_eval.yaml --gpu-id 0 | |
| ``` | |
| ## Dataset | |
| | Dataset | Images | json file| | |
| |---------|---------|----------| | |
| | MIMIC |[Download](https://physionet.org/content/mimiciii/1.4/) | [Download](https://drive.google.com/drive/folders/1nZhdfNoh7fkx7CWvf0_47_OLv3tA2m3o?usp=sharing) | | |
| | NLST |[Download](https://wiki.cancerimagingarchive.net/display/NLST)| [Downlaod](https://drive.google.com/drive/folders/1OKgMTaGLu_dWRuco6JipYzezw3oNwgaz?usp=sharing) | | |
| |SLAKE |[Downlaod](https://www.med-vqa.com/slake/) |[Download](https://drive.google.com/drive/folders/1vstjmfRbKahSAsi_b6FmTQiuolvgO8oC?usp=sharing)| | |
| |RSNA |[Downlaod](https://www.rsna.org/rsnai/ai-image-challenge/rsna-pneumonia-detection-challenge-2018) | [Download](https://drive.google.com/drive/folders/1wkXPvUNqda6jWAIduyiVJkS3Tx7P7td8?usp=sharing) | | |
| |Rad-VQA |[Downalod](https://osf.io/89kps/) |[Download](https://drive.google.com/drive/folders/1ING6Dodwk2DU_t4GHQYudNFMMg9OMfBQ?usp=sharing) | | |
| ## Acknowledgement | |
| - MiniGPT-4 | |
| - Lavis | |
| - Vicuna | |
| - Falcon | |
| - Llama 2 | |