https://github.com/cassxw/samsegwebsite

🧠 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.
https://github.com/cassxw/samsegwebsite

artificial-intelligence brain-tumor-segmentation collaboration css deep-learning html image-segmentation lora machine-learning medical-imaging research-project sam website

Last synced: about 1 month ago
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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.

• Host: GitHub
• URL: https://github.com/cassxw/samsegwebsite
• Owner: cassxw
• License: other
• Created: 2024-09-23T15:15:42.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-03-12T13:45:46.000Z (about 2 months ago)
• Last Synced: 2025-03-12T14:34:07.214Z (about 2 months ago)
• Topics: artificial-intelligence, brain-tumor-segmentation, collaboration, css, deep-learning, html, image-segmentation, lora, machine-learning, medical-imaging, research-project, sam, website
• Language: CSS
• Homepage: https://cassxw.github.io/SAMSegWebsite/
• Size: 40.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# 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:

- **Template by**: [HTML5 UP](https://html5up.net) | **@ajlkn**

- **Free for personal and commercial use** under the [CCA 3.0 license](https://html5up.net/license)

### Demo Images

The demo images used in the template are provided courtesy of [Unsplash](https://unsplash.com), a fantastic collection of CC0 (public domain) images. These images are **not included** in the repository.

### Icons

- **Font Awesome**: [fontawesome.io](https://fontawesome.io)

### Other Libraries Used

- **jQuery**: [jquery.com](https://jquery.com)

- **Scrollex**: [github.com/ajlkn/jquery.scrollex](https://github.com/ajlkn/jquery.scrollex)

- **Responsive Tools**: [github.com/ajlkn/responsive-tools](https://github.com/ajlkn/responsive-tools)

---

## 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](https://github.com/cassxw/SAMSeg).