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.

Keywords: Peritoneal Carcinomatosis; Colorectal Cancer (CRC); Deep Learning; Biomarkers

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Citation

Citation: V T Ram Pavan Kumar.,et al. “Comparative Analysis of Colon Cancer Classification Using RNN and CNN”.Acta Scientific Cancer Biology 8.2 (2024): 16-21.

Copyright

Copyright: © 2024 V T Ram Pavan Kumar., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.