Colorectal Cancer Predictor
Colorectal cancer, also known as colon cancer or rectal cancer, is a type of cancer that develops in the colon or rectum, which are parts of the large intestine. It can be detected at an early stage through screening, even before symptoms develop. Early detection is important because it increases the chances of successful treatment and improves the overall prognosis.Deep learning techniques, including machine learning algorithms and neural networks, have been increasingly utilized in medical research and clinical applications, including cancer prediction. Colorectal cancer prediction using deep learning involves training models on large datasets containing patient information such as X-ray, ultrasound, or other morality to identify patterns for making predictions. We have developed ColonNet powered by AI for the early detection of colorectal cancer. Steps for performing prediction using Colonet are explained on the page.
Intelligently understands & Automatically Recommends
Quick Search and Select disease
Select the desired indicator for performing prediction for instance Colonoscopy
Select GPU
A GPU is automatically allocated to train your data before performing prediction.
Upload Images
Upload your dataset containing the ultrasound of the patient.
Perform Prediction
Perform prediction and view the results. The results will tell you whether a patient has cancer or not. The visual representation and the confidence score of the results are also given.