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100 Days of Python in Medical Imaging

Welcome to my 100 Days of Python in Medical Imaging repository! This is a coding challenge where I’ll be working on Python projects related to medical imaging and AI diagnostics for 100 consecutive days.

Goals

  • Learn and apply Python for medical imaging tasks.
  • Explore AI and machine learning techniques for diagnostics.
  • Build a portfolio of projects using open-source datasets.

Projects

Day 1: Loading and Visualizing Medical Images

  • Description: Loaded and visualized chest X-ray images from the PneumoniaMNIST dataset.
  • Files:
    • day1.py: Python script to load and visualize the dataset.
    • sample_chest_xray.png: Sample chest X-ray image saved from the dataset.
  • How to Run:
    1. Install the required libraries: 
      pip install medmnist matplotlib numpy

Day 2: Image Preprocessing

  • Description: Applied image preprocessing techniques like resizing, normalization, and augmentation to the ChestMNIST dataset.
  • Files:
    • day2.py: Python script for image preprocessing.
    • resized_chest_xray.png: Resized chest X-ray image.
    • augmented_chest_xray.png: Augmented chest X-ray image.
  • How to Run:
    1. Install the required libraries: 
      pip install medmnist matplotlib numpy torch torchvision
    2. Run the script: 
      python day2.py

How to Use This Repository

  • Each day’s project will be added to a separate folder (e.g., Day1_Loading_and_Visualizing_Medical_Images).
  • The README.md file in each folder will contain details about the project, including how to run the code.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Let me know if you need further assistance! 🚀