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# GI Bleeding Detection
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# GI Bleeding Detection
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![GI Bleeding Detection Banner](https://github.com/yourusername/gi-bleeding-detection/raw/main/docs/images/banner.png?raw=true)

  
  





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A Python application that uses computer vision and machine learning techniques to detect gastrointestinal (GI) bleeding in endoscopic images. This tool provides healthcare professionals with a visual aid for identifying potential bleeding regions in the GI tract.

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A Python application that uses computer vision and machine learning techniques to detect gastrointestinal (GI) bleeding in endoscopic images. This tool provides healthcare professionals with a visual aid for identifying potential bleeding regions in the GI tract.





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## Features

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## Features





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- **Automated Bleeding Detection**: Uses color segmentation, K-means clustering, and HSV analysis to identify bleeding regions

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- **Automated Bleeding Detection**: Uses color segmentation, K-means clustering, and HSV analysis to identify bleeding regions





  
  
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- **Quantitative Analysis**: Calculates bleeding area percentage and provides risk assessment

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- **Quantitative Analysis**: Calculates bleeding area percentage and provides risk assessment





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- **Report Generation**: Creates saveable reports for medical records and further analysis

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- **Report Generation**: Creates saveable reports for medical records and further analysis





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## Screenshots

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## Screenshots





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### Main Application Interface

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![Main Interface](https://github.com/yourusername/gi-bleeding-detection/raw/main/docs/images/main-interface.png?raw=true)

  
  





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### Analysis Results Example

  
  





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![Analysis Results](https://github.com/yourusername/gi-bleeding-detection/raw/main/docs/images/analysis-results.png?raw=true)

  
  





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### Bleeding Detection Visualization

  
  





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**Original Endoscopic Image**  

  
  





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![Original Image](https://github.com/yourusername/gi-bleeding-detection/raw/main/docs/images/original-image.png)

  
  





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**Bleeding Detection Result**  

  
  





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![Bleeding Detection](https://github.com/yourusername/gi-bleeding-detection/raw/main/docs/images/bleeding-detection.png?raw=true)

  
  





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## Installation

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## Installation





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### Prerequisites

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### Prerequisites





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- Special thanks to medical professionals at [Hospital/Institution Name] for providing test images and validation

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- Special thanks to medical professionals at [Hospital/Institution Name] for providing test images and validation





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- [OpenCV](https://opencv.org/) library for computer vision algorithms

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- [OpenCV](https://opencv.org/) library for computer vision algorithms





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- [scikit-learn](https://scikit-learn.org/) for machine learning components

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- [scikit-learn](https://scikit-learn.org/) for machine learning components