COLORECTAL CANCER (CRC) DETECTION USING CONVOLUTIONAL NEURAL NETWORK (CNN)

This research focuses on utilizing Convolutional Neural Networks (CNN) to predict the likelihood of colorectal cancer by analyzing medical images of cancerous and non-cancerous tissues. The model demonstrates strong performance with high precision, recall, and accuracy, and employs various techniques such as data augmentation and early stopping to improve generalization and prevent overfitting. The study highlights the potential of machine learning in enhancing diagnostic accuracy and supporting oncologists in making informed treatment decisions.