download the datasets and make them with this format
.
├── TestDatasets
│ ├── BUSI
│ │ ├── benign
│ │ └── malignant
│ ├── fluidchallenge
│ │ ├── cirrus
│ │ ├── spectralis
│ │ └── topcon
│ ├── Polyp
│ │ ├── CVC-300
│ │ ├── CVC-ClinicDB
│ │ ├── CVC-ColonDB
│ │ ├── ETIS-LaribPolypDB
│ │ └── Kvasir
│ └── GlaS
│ ├── benign
│ ├── Grade.csv
│ └── malignant
download the checkpoints ,create a directory named checkpoints under the root directory, put them into the directory
MedSAM checkpoints
SAM checkpoints
python main.py
The code is licensed under the MIT license.
If you use AuxOL in your research, please use the following BibTeX entry.
@article{huang2024improving,
title={On-the-Fly Improving Segment Anything for Medical Image Segmentation using Auxiliary Online Learning},
author={Huang, Tianyu and Zhou, Tao and Xie, Weidi and Wang, Shuo and Dou, Qi and Zhang, Yizhe},
journal={arXiv preprint arXiv:2406.00956},
year={2024}
}