This repository hosts a hobby project centered around biomedical image analysis, created while learning Python and utilizing Jupyter Notebooks. The project aims to explore the world of medical imaging, understand image processing techniques, and extract valuable insights from biomedical images.
The project delves into the following aspects:
- Biomedical Images: Examining various types of biomedical images, such as X-rays, MRIs, or microscopy images.
- Image Processing Techniques: Implementing image processing algorithms and techniques to enhance, segment, or extract information from the images.
- Insights and Analysis: Exploring patterns, features, or anomalies in the images that could aid medical professionals in diagnostics or research.
The project in the Jupyter Notebook is structured as follows:
- Image Processing: Implementing image processing algorithms or filters for tasks like noise reduction, edge detection, or segmentation.
- Feature Extraction: Extracting meaningful features or patterns from the images for further analysis.
- Insights and Visualization: Presenting insights or findings from image analysis, potentially aiding medical professionals.
- Clone or download this repository to your local machine.
https://github.com/MTank76/Biomedical-Image-Analytics.git - Open the Jupyter Notebook (
Bio Medical Image Analytics.ipynb) in Jupyter Notebook or JupyterLab to explore the project and its findings.
Contributions are welcome! If you'd like to contribute to this project, feel free to open issues for suggestions or submit pull requests with proposed enhancements.
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