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🧠 This website is a collaborative platform providing an overview of our project, results, and deliverables. This informational hub offers insights into our advanced segmentation research, including U-SAM and SAM-LoRA, making it easy to explore our findings and access key resources.

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SAMSeg Website

A simple, clean, and minimal website for the SAMSeg project, built using the Alpha template by HTML5 UP.

Credits

This website uses the Alpha template by HTML5 UP:

Demo Images

The demo images used in the template are provided courtesy of Unsplash, a fantastic collection of CC0 (public domain) images. These images are not included in the repository.

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SAMSeg Project Overview

This project is an extension of the Segment Anything Model (SAM) for the specialised task of brain tumor segmentation 🧠, using Parameter-Efficient Fine-Tuning (PEFT) and integrating U-Net architectures. It is designed to provide better accuracy and precision in medical imaging tasks such as brain tumor segmentation.

The project is built upon the SAMSeg repository, which leverages cutting-edge techniques to enhance segmentation capabilities for complex datasets like BraTS Intracranial Meningioma 2023.

🔗 For more details on the project, visit the original SAMSeg GitHub repository.

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🧠 This website is a collaborative platform providing an overview of our project, results, and deliverables. This informational hub offers insights into our advanced segmentation research, including U-SAM and SAM-LoRA, making it easy to explore our findings and access key resources.

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