Published Paper Details:

Colon cancer is one of the most life- threaten- ing and highly spreadable cancers. The old technologies and methods used for identifying colon cancer were done by doctors using scan images or histopathological images, and it needs expertise in the field to identify the cancer, which may take hours or days. Some may even result in errors, leading to delayed diagnosis, and some may even miss early- stage detection. To reduce these problems, we have created a website that can find the cancer and its percentage in an instant, and to obtain this, we use a CNN (Convolutional Neural Network), which helps in extracting the spatial and needed features from scan images or histopathological images. The image pro- cessing technique includes resizing t he image, noise removal, normalisation, and data augmentation. Then the model will be trained to detect whether the image is cancer- ous or non-cancerous, and the percentage of cancer.