Lung & Colon Cancer Classification using Deep Learning

Developed an end-to-end deep learning system for classifying lung and colon histopathological images into five categories using TensorFlow and Keras. The project included data preprocessing, model training, evaluation, performance optimization, and deployment through a Streamlit web application. The final system allows users to upload medical images and receive real-time predictions through a simple interface.

Key Features

Medical image classification

CNN-based deep learning model

Image preprocessing and augmentation

Performance evaluation

Streamlit deployment

User-friendly interface