Comparative Analysis of Colon Cancer Classification Using RNN and CNN

Colon cancer is the second leading dreadful disease-causing death.The challenge in the colon cancer detection is the accurate identification of the lesion at the early stage such that mortality and morbidity can be reduced.In this work, a colon cancer classification is done by recurrent neural network and CNN.Initially, the input cancer images subjected to carry a pre-processing, in which outer artifacts are removed.The pre-processed image is forwarded for segmentation.The obtained segments are forwarded for attribute selection module.Finally, the Comparison is done for CNN and RNN Results.