• E.N.Srivani

Deep learning has emerged as a main machine learning tool in object detection and has attracted interest with its achievements in progressing clinical image evaluation. Convolution Neural Networks (CNNs) are the most preferred technique in deep learning algorithms for this reason and that they have a crucial role in the detection and capability in early analysis of colon cancer. In this paper, we are hoping to carry out a perspective to development on this region by reviewing deep learning practices for colon cancer analysis. This examines and gives an outline of popular deep learning architectures utilized in colon cancer evaluation. After that, all research associated with colon cancer analysis are accumulated below the sector of colon cancer and deep learning. We conclude our work with a summary of latest deep learning practices for colon cancer analysis, a crucial discussion of the challenges confronted, and recommendations for future research.

Deep learning, Colon cancer, colorectal cancer, Convolution neural networks.

"A Comprehensive Review on Colon Cancer Detection using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.a188-a194, January-2023, Available :http://www.jetir.org/papers/JETIR2301025.pdf

"A Comprehensive Review on Colon Cancer Detection using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppa188-a194, January-2023, Available at : http://www.jetir.org/papers/JETIR2301025.pdf