---
task_categories:
- image-segmentation
license: mit
---

This repository contains the medical imaging datasets used in [SALT: Parameter-Efficient Fine-Tuning via Singular Value Adaptation with Low-Rank Transformation](https://github.com/YourUsername/SALT). SALT is a novel Parameter-Efficient Fine-Tuning (PEFT) method designed to adapt large-scale foundation models—especially **Segment Anything Model (SAM)**—to domain-specific tasks such as **medical image segmentation**.

The datasets are:

- [ROSE](https://huggingface.co/datasets/pythn/ROSE) (Retinal OCT Angiography)
- [ARCADE](https://huggingface.co/datasets/pythn/ARCADE) (Coronary Artery Segmentation)
- [DRIVE](https://huggingface.co/datasets/pythn/drive) (Retinal Vessel Segmentation)
- [DIAS](https://huggingface.co/datasets/pythn/DIAS) (Dynamic Digital Subtraction Angiography)
- [Xray-Angio](https://huggingface.co/datasets/pythn/DB) (Occluded Vessel Segmentation)