Google Colab project to classify MRI images using TensorFlow
Complete Cell Structure: 🎛️ Master Control Panel (Cell 1)
All flags in one place for easy control Visual status display showing what's ON/OFF
📦 Setup & Installation (Cell 2)
Package installation with flag control Library imports (always run)
⬇️ Dataset Download (Cell 3)
Kaggle API integration Manual upload instructions Directory creation
📁 Data Organization (Cell 4)
Automatic train/validation/test split Multiple source directory detection Error handling and feedback
🏗️ MRI Classifier Class (Cell 5)
Complete professional classifier Medical-optimized settings Comprehensive logging
📊 Data Visualization (Cell 6)
Sample image display Dataset statistics Error diagnostics
🏗️ Model Building (Cell 7)
Architecture selection Data generator creation Model summary display
🚀 Model Training (Cell 8)
Training with callbacks Progress visualization Performance tracking
📊 Model Evaluation (Cell 9)
Comprehensive testing Medical interpretation Confusion matrix
🔍 Individual Predictions (Cell 10)
Single image testing Visual prediction display Accuracy assessment
💾 Model Saving (Cell 11)
Model and metadata storage Loading instructions File management
📋 Workflow Summary (Cell 13)
Complete status report Next steps recommendations Success tips
Key Features:
🎯 Easy Control:
python# Just change these at the top:
VISUALIZE_SAMPLES = True # See your data
TRAIN_MODEL = False # Skip training for now
TEST_PREDICTIONS = False # Test later
🔄 Flexible Workflow:
Run any combination of steps Skip time-consuming parts during testing Easy to restart and modify
📱 Beginner-Friendly:
Clear status messages Error explanations Next step guidance
🏥 Medical-Professional:
Appropriate augmentation for medical images Clinical interpretation of results Professional model architecture
How to Use in Colab:
Copy-paste into Colab cells (split at the # === markers) Set your flags in Cell 1 based on what you want to do Run cells in order - each checks its flag first Modify flags and re-run as needed
This gives you the exact same experience as horses vs humans, but with:
Professional medical features Complete control over execution No wasted time on unnecessary steps Clear guidance at every stage
You can start by just setting VISUALIZE_SAMPLES = True to see your data, then gradually enable training and testing as you get comfortable!