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
