Medical SAM 2, or say MedSAM-2, is an advanced segmentation model that utilizes the SAM 2 framework to address both 2D and 3D medical image segmentation tasks. This method is elaborated on the paper Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2.
Install the environment:
conda env create -f environment.yml
conda activate medsam2
You can download SAM2 checkpoint from checkpoints folder:
bash download_ckpts.sh
Further Note: We tested on the following system environment and you may have to handle some issue due to system difference.
Operating System: Ubuntu 22.04
Conda Version: 23.7.4
Python Version: 3.12.4
We released our pretrain weight here
Download REFUGE or BCTV or your own dataset and put in the data
folder, create the folder if it does not exist ⚒️
Step1: Download pre-processed REFUGE dataset manually from here, or using command lines:
wget https://huggingface.co/datasets/jiayuanz3/REFUGE/resolve/main/REFUGE.zip
unzip REFUGE.zip
Step2: Run the training and validation by:
python train_2d.py -net sam2 -exp_name REFUGE_MedSAM2 -vis 1 -sam_ckpt ./checkpoints/sam2_hiera_small.pt -sam_config sam2_hiera_s -image_size 1024 -out_size 1024 -b 4 -val_freq 1 -dataset REFUGE -data_path ./data/REFUGE
Step1: Download pre-processed BTCV dataset manually from here, or using command lines:
wget https://huggingface.co/datasets/jiayuanz3/btcv/resolve/main/btcv.zip
unzip btcv.zip
Step2: Run the training and validation by:
python train_3d.py -net sam2 -exp_name BTCV_MedSAM2 -sam_ckpt ./checkpoints/sam2_hiera_small.pt -sam_config sam2_hiera_s -image_size 1024 -val_freq 1 -prompt bbox -prompt_freq 2 -dataset btcv -data_path ./data/btcv
- 24-08-05. Our Medical SAM 2 paper ranked #1 Paper of the day collected by AK on Hugging Face 🤗
- 24-08-05. Update 3D example details and pre-processed BTCV dataset download link 🔗
- 24-08-05. Update 2D example details and pre-processed REFUGE dataset download link 🔗
- 24-08-05. Our Medical SAM 2 paper was available online 🥳
- 24-08-05. Our Medical SAM 2 code was available on Github 🥳
- 24-07-30. The SAM 2 model was released 🤩
@misc{zhu_medical_2024,
title={Medical SAM 2: Segment medical images as video via Segment Anything Model 2},
author={Jiayuan Zhu and Yunli Qi and Junde Wu},
year = {2024},
eprint={2408.00874},
archivePrefix={arXiv},
primaryClass={cs.CV}
}