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https://github.com/raj-pulapakura/clarityscan

Easily enhance brain MRI Scans and diagnose lower grade glioma tumors using Deep Learning.
https://github.com/raj-pulapakura/clarityscan

Last synced: 18 days ago
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Easily enhance brain MRI Scans and diagnose lower grade glioma tumors using Deep Learning.

Host: GitHub
URL: https://github.com/raj-pulapakura/clarityscan
Owner: raj-pulapakura
Created: 2024-03-11T02:25:47.000Z (11 months ago)
Default Branch: main
Last Pushed: 2024-03-12T04:03:09.000Z (11 months ago)
Last Synced: 2024-11-10T00:29:47.291Z (3 months ago)
Language: TypeScript
Homepage: http://clarityscan-447069715.us-east-1.elb.amazonaws.com/
Size: 394 KB
Stars: 2
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

# ClarityScan: Medical Deep Learning Project

![Screenshot 2024-03-12 004645](https://github.com/raj-pulapakura/ClarityScan/assets/87762282/e56b9135-0c65-42d7-910c-a7bc4ead6615)

ClarityScan is an app that enables radiologists to enhance brain MRI scans and easily identify glioma tumors in the scans.

ClarityScan is currently powered by two deep learning models:
- Noise Removal Model: removes static noise from an MRI scan
- Tumor Segmentation Model: identifies exactly where the glioma tumor is in the scan

## 📚 Project Resources

Check out ClarityScan:

- 🔗 [ClarityScan website](http://clarityscan-447069715.us-east-1.elb.amazonaws.com/)
- 📽️ [YT Project demo](https://www.youtube.com/watch?v=v9OmIxve9Zs)
- 📽️ [YT Technical walkthrough](https://www.youtube.com/watch?v=SvfRLuvJyn8)

📝 Articles which I wrote while creating this project:
- ✒️ [Image Segmentation — A Beginner’s Guide](https://medium.com/@raj.pulapakura/image-segmentation-a-beginners-guide-0ede91052db7)
- ✒️ [Multimodal Models and Fusion - A Complete Guide](https://medium.com/@raj.pulapakura/multimodal-models-and-fusion-a-complete-guide-225ca91f6861)
- ✒️ [How To Build an End-to-End Medical Deep Learning Project](https://medium.com/@raj.pulapakura/how-to-build-an-end-to-end-medical-deep-learning-project-11ad932b5a8f)