Int. J. Advanced Networking and Applications Volume: 13 Issue: 01 Pages: 4827-4832(2021) ISSN: 0975-0290 4827 Algorithms of Deep Learning: Convolutional Neural Network Role with Colon Cancer Disease Naglaa Saeed Shehata* Information Systems Department ,Faculty of Computers and Artificial Intelligence, Helwan University, Egypt Email: nagla_sd@yahoo.com Mona Nasr Information Systems Department ,Faculty of Computers and Artificial Intelligence, Helwan University, Egypt Email: m.nasr@helwan.edu.eg Laila El Fangary Information Systems Department ,Faculty of Computers and Artificial Intelligence, Helwan University, Egypt Email: lailaelfangary@gmail.com Laila Abd EL hamid Information Systems Department ,Faculty of Computers and Artificial Intelligence, Helwan University, Egypt Email: dr.laila.abdelhamed@gmail.com * Corresponding Author ------------------------------------------------------------------- ABSTRACT--------------------------------------------------------------- The world's third most serious and lethal cancer rankings are colon cancer. Like cancer, the most important stage of early diagnosis is. Deep learning has become a leading learning tool for object detection and its successes in advancing the analysis of medical images have attracted attention. Convolutionary neural networks (CNNs), which play an indispensable role in the detection and potential early diagnose of colon cancer, are the most popular method of deep learning algorithms for this purpose. In this article we hope to take a look at the progress of colonic cancer analysis by studying profound learning practices. This study provides an overview of popular profound study algorithms used in analysis of colon cancer. All studies in the fields of colon cancer, including detection, classification as well as segmentation and survival prediction, will then be collected. Finally, we will conclude the work by summarizing the latest deep learning practices in analysis of colon cancer, a critical examination of the challenges and proposals for future research Keywords: Deep learning, Colon cancer, Medical image analysis, Convolutional neural networks. -------------------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: July 24, 2021 Date of Acceptance: Aug 11, 2021 -------------------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION Today, cancer has a high mortality rate and is one of the major conditions affecting human health. For clinicians and researchers interested in this field, cancer represents a significant challenge. The cause of malignant tumours is cancer. Tumors with benignity are not cancers, are frequently removed and are rare. On the other hand, malignant tumours or cancers are dangerous because they develop in an uncontrolled manner. Some cells of the organism start dividing and spreading throughout the tissues of the area in all types of cancer. A statistic of the NCI indicates the death of approx. 606,520 people and the diagnosis of 1,806,950 million new cancer incidents in the United States in 2020 [1]. Early cancer diagnosis extends human life and is critical for disease fighting. That is why scientists have submitted numerous early cancer screening studies. Medical imagery is an effective use in early cancer diagnoses that plays an important role. The interpretation of the data regarding speed of disease progression is despite the increase in the amount of physical imagery data Durable and challenging. [2] In the medical picture processes for the diagnosis, classification and segmentation of the tumour, master- learning, a sub-sector of artificial intelligence, is commonly used. In addition, algorithms for master learning have been employed for the analysis and interpretation of physical pictures to this day. Computer- assisted detection and diagnostic (CAD) algorithms have been created with these advances so that the interpretation of medical images can be more accurate and efficient. In developed countries, colon cancer is a dangerous malignancy with high incidence and fatality rates see fig.1. In the United States, colon cancer is ranked three among men and women diagnosed cancers. Colon cancer is a precursor of polyps that over time become cancerous cells. Colonoscopy is the most extensively used method for detecting polyps and screening for colon cancer. Deep gaining knowledge of is a device generally utilized in studies fields which includes pc imaginative and prescient, scientific picture processing, and herbal language processing, language testing, and additionally with inside the subject of pc imaginative and prescient processing.