brain-imaging

radiologic imaging of brain tumors Hemangioma

Brain Tumor Diagnosis from CT Scans

This repository contains a machine learning model for diagnosing brain tumors from CT scan images.

Project Structure

The repository is organized as follows:

brain-tumor-diagnosis/
│
├── data/                      # Dataset directory (raw and processed data)
│   ├── train/                 # Training data subsets
│   │   ├── tumor/             # Positive cases (tumor present)
│   │   └── no_tumor/          # Negative cases (healthy)
│   └── test/                  # Testing data subsets
│       ├── tumor/
│       └── no_tumor/
│
├── models/                    # Serialized model files (.h5, .pkl, etc.)
├── notebooks/                 # Experimental Jupyter notebooks
│   ├── exploratory_analysis.ipynb
│   └── model_prototyping.ipynb
│
├── src/                       # Source code
│   ├── data_preprocessing.py  # Data cleaning/normalization
│   ├── model_training.py      # ML model development
│   ├── evaluation.py          # Performance metrics
│   └── predict.py             # Inference pipeline
│
├── requirements.txt           # Python dependencies
├── README.md                  # Project documentation
└── LICENSE                    # Usage terms