https://github.com/himalayaashish/lumbar-detection

The Lumbar Detection Project leverages advanced deep learning techniques to accurately identify and segment lumbar bones in medical imaging data. Using instance segmentation with the Mask R-CNN algorithm and semantic segmentation with the UNet architecture, the project aims to enhance diagnostic accuracy in spinal imaging.
https://github.com/himalayaashish/lumbar-detection

computer-vision detectron2 object-detection tensorflow tensorflow2

Last synced: 11 days ago
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The Lumbar Detection Project leverages advanced deep learning techniques to accurately identify and segment lumbar bones in medical imaging data. Using instance segmentation with the Mask R-CNN algorithm and semantic segmentation with the UNet architecture, the project aims to enhance diagnostic accuracy in spinal imaging.

• Host: GitHub
• URL: https://github.com/himalayaashish/lumbar-detection
• Owner: himalayaashish
• Created: 2024-10-15T05:04:41.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-10-17T05:11:15.000Z (30 days ago)
• Last Synced: 2024-11-05T02:04:38.969Z (11 days ago)
• Topics: computer-vision, detectron2, object-detection, tensorflow, tensorflow2
• Homepage:
• Size: 427 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Hello World! 

 🚀 Welcome to my git repo :Lumbar-Detection:


### Lumbar-Detection 



#### Lumbar Detection Using Machine Learning

###### This project focuses on detecting Lumbar bones using both instance segmentation and semantic segmentation techniques.

###### I utilized advanced machine learning techniques, applying the Mask R-CNN algorithm for instance segmentation and UNet for semantic segmentation. After evaluating the models, UNet achieved the best performance in terms of accuracy and segmentation quality for Lumbar bone detection.

###### To know the best model with best parameter I have used maskRCNN algorithmns and UNET has scored the best.

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