Colorectal Cancer Detection by using Deep Learning

Colorectal cancer is a significant global health concern, accounting for a substantial portion of cancer-related deaths worldwide. Early detection and timely intervention are pivotal in improving patient outcomes. This paper presents an innovative approach for the early detection of colorectal cancer through the application of deep learning techniques.

We leverage a large dataset of medical images, including colonoscopy and histopathology slides, to develop a robust and accurate deep learning model for colorectal cancer detection. Convolutional Neural Networks (CNNs) and advanced neural architectures are employed to automatically extract meaningful features from these images, enabling the discrimination between cancerous and non-cancerous tissues.

Keywords: colorectal dataset, deep learning algorithms etc...