Multi-Class classification of Different Cancer Types Using CNN
Savarala Chethana, Sreevathsa Sree Charan, Vemula Srihitha, Amrita Thakur, Nidhin Prabhakar T V · 2023
Cancer is known as emperor of all maladies. It's a group of disease known to be fatal for life if not detected on time. The disease originates in one cell and spreads slowly. Over a period, the cancer cells affect various organs leading to death. It is possible to control and treat the disease in its early stages. The disease detection based on histopathological images provides an advantage for early detection, as the affected cells can be differentiated from the normal cells from their images. Various artificial intelligence algorithms can be suitably implemented in this regard for machine-based detection of cancerous cells and tissues. In this project, Multiclass classification is done using Convolutional Neural Networks for the prediction of various cancer from their histopathological images. A Graphical User Interface was designed to display the outcome in terms of the cancer type from the given image input.