Deep learning has emerged as a leading machine learning tool in object detection and has attracted attention with its achievements in progressing medical image analysis. Convolutional Neural Networks (CNNs) are the most preferred method of deep learning algorithms for this purpose and they have an essential role in the detection and potential early diagnosis of colon cancer. In this article, we hope to bring a perspective to progress in this area by reviewing deep learning practices for colon cancer analysis. This study first presents an overview of popular deep learning architectures used in colon cancer analysis. After that, all studies related to colon cancer analysis are collected under the field of colon cancer and deep learning, then they are divided into five categories that are detection, classification, segmentation, survival prediction, and inflammatory bowel diseases. Then, the studies collected under each category are summarized in detail and listed. We conclude our work with a summary of recent deep learning practices for colon cancer analysis, a critical discussion of the challenges faced, and suggestions for future research. This study differs from other studies by including 135 recent academic papers, separating colon cancer into five different classes, and providing a comprehensive structure. We hope that this study is beneficial to researchers interested in using deep learning techniques for the diagnosis of colon cancer.

深度学习已成为对象检测领域中领先的机器学习工具，并以其在医学图像分析方面的成就而受到关注。卷积神经网络（CNN）是为此目的而最受青睐的深度学习算法，并且在结肠癌的检测和潜在的早期诊断中起着至关重要的作用。在本文中，我们希望通过回顾用于结肠癌分析的深度学习实践，为该领域的发展带来前景。这项研究首先概述了用于结肠癌分析的流行深度学习架构。之后，所有与结肠癌分析相关的研究都将在结肠癌和深度学习领域进行收集，然后将其分为检测，分类，分割，生存预测，和炎症性肠病。然后，详细总结并列出了每个类别下收集的研究。我们在总结工作时总结了最近用于结肠癌分析的深度学习实践，对所面临挑战的批判性讨论以及对未来研究的建议。这项研究与其他研究不同，包括135篇最新学术论文，将结肠癌分为五个不同的类别，并提供了一个全面的结构。我们希望这项研究对有兴趣使用深度学习技术诊断结肠癌的研究人员有所帮助。对所面临挑战的批判性讨论，以及对未来研究的建议。这项研究与其他研究不同，包括135篇最新学术论文，将结肠癌分为五个不同的类别，并提供了一个全面的结构。我们希望这项研究对有兴趣使用深度学习技术诊断结肠癌的研究人员有所帮助。对所面临挑战的批判性讨论，以及对未来研究的建议。这项研究与其他研究不同，包括135篇最新学术论文，将结肠癌分为五个不同的类别，并提供了一个全面的结构。我们希望这项研究对有兴趣使用深度学习技术诊断结肠癌的研究人员有所帮助。