Background: Colon cancer generally begins as a neoplastic growth of tissue, called polyps,
originating from the inner lining of the colon wall. Most colon polyps are considered harmless
but over the time, they can evolve into colon cancer, which, when diagnosed in later stages, is
often fatal. Hence, time is of the essence in the early detection of polyps and the prevention of
Methods: To aid this endeavor, many computer-aided methods have been developed, which use a
wide array of techniques to detect, localize and segment polyps from CT Colonography images. In
this paper, a comprehensive state-of-the-art method is proposed and categorize this work broadly
using the available classification techniques using Machine Learning and Deep Learning.
Conclusion: The performance of each of the proposed approach is analyzed with existing methods
and also how they can be used to tackle the timely and accurate detection of colon polyps.