Overview:
This project involves building a convolutional neural network (CNN) to classify medical X-ray images and detect pneumonia. Targeted at beginner to intermediate-level data scientists, the project will focus on leveraging deep learning techniques to develop a robust classification model. The final model will be deployed using Streamlit, providing a user-friendly interface for real-time predictions.
Objectives:
Dataset Acquisition and Preprocessing:
Use the publicly available dataset of X-ray images for model training.
Perform data preprocessing, including resizing, normalization, and augmentation, to prepare the images for training.
Model Development:
Build a convolutional neural network (CNN) using deep learning frameworks such as TensorFlow or PyTorch.
Train and evaluate the model to classify X-ray images as normal or pneumonia.
Model Deployment:
Develop a Streamlit application to allow users to upload X-ray images and receive a prediction.
Include visualization of prediction confidence and model explanation (e.g., Grad-CAM).
Scope of Works
Phase 1: Setup (1 Week)
Setup GitHub repo and project folders.
Setup virtual environment and respective libraries.
Phase 2: Dataset Acquisition and Preprocessing (1 Week)
Download the chest X-ray dataset from a trusted source (e.g., Kaggle).
Explore and preprocess the dataset:
Resize images to a uniform size.
Normalize pixel values for faster model convergence.
Perform data augmentation to improve model generalization.
Phase 3: Model Development (1 Week)
Design a CNN architecture tailored for image classification.
Train the model on the dataset with proper validation.
Evaluate the model's performance using metrics like accuracy, precision, recall, and F1-score.
Fine-tune the model for optimal performance.
Phase 4: Model Deployment (1 Week)
Build a Streamlit app to:
Allow users to upload X-ray images.
Display the model's predictions (Normal or Pneumonia).
Provide additional insights using Grad-CAM visualizations for explainability.
Link to GitHub: https://github.com/SuperDataScience-Community-Projects/SDS-CP021-pneumonia-detection
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i am interested Medical X-Ray Imaging: Pneumonia Detection