Lung Cancer Detection using CNN & EfficientNetB3

This project performs multiclass classification of lung histopathology images (15k images, 5k per class) into:

• Adenocarcinoma
• Squamous cell carcinoma
• Benign tissue

Implemented two models:

• Baseline CNN
• Transfer Learning with EfficientNetB3 (fine-tuned)

EfficientNetB3 achieved the best accuracy and stable validation metrics.

Tools used: Python, TensorFlow, Keras, Matplotlib, Google Colab.