Throat Cancer detection using canny edge detector with ANN to detect tumours in the skin. ANN uses edge detectors to detect cancer cells in the form of tiny blobs of cells and tumours on the surface of the skin to detect signs of cancer. This proposes a novel approach to detect throat cancer using Canny edge detection algorithm with artificial neural networks (ANN). The proposed method involves pre-processing the throat cancer images using the Canny edge detection algorithm to enhance the edges in the image. The edge-detected images are then fed into an ANN to classify the images as either cancerous or non-cancerous. The proposed method was evaluated using a dataset of throat cancer images, and the results showed that the proposed method outperforms existing methods for throat cancer detection in terms of accuracy, sensitivity, and specificity. The proposed method has the potential to aid in the early detection of throat cancer, leading to better treatment outcomes and higher survival rates.