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: 2 months 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 (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-13T03:57:20.000Z (over 1 year ago)
- Last Synced: 2025-02-14T11:53:10.294Z (over 1 year ago)
- Topics: computer-vision, detectron2, object-detection, tensorflow, tensorflow2
- Language: Jupyter Notebook
- Homepage:
- Size: 4.42 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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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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### Languages and Tools
### Languages
**Python**:
**JavaScript**:
**SQL:**
### Tools
**Software Development:**
**SDLC:**
  
**Software Engineering:**
[](https://github.com/Quananhle)
[](https://github.com/Quananhle)
**Version Control:**
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