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首页> 外文期刊>IEEE/ACM transactions on computational biology and bioinformatics >A Recent Survey on Colon Cancer Detection Techniques
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A Recent Survey on Colon Cancer Detection Techniques

机译：结肠癌检测技术的最新调查

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摘要

Colon cancer causes deaths of about half a million people every year. Common method of its detection is histopathological tissue analysis, which, though leads to vital diagnosis, is significantly correlated to the tiredness, experience, and workload of the pathologist. Researchers have been working since decades to get rid of manual inspection, and to develop trustworthy systems for detecting colon cancer. Several techniques, based on spectral/spatial analysis of colon biopsy images, and serum and gene analysis of colon samples, have been proposed in this regard. Due to rapid evolution of colon cancer detection techniques, a latest review of recent research in this field is highly desirable. The aim of this paper is to discuss various colon cancer detection techniques. In this survey, we categorize the techniques on the basis of the adopted methodology and underlying data set, and provide detailed description of techniques in each category. Additionally, this study provides an extensive comparison of various colon cancer detection categories, and of multiple techniques within each category. Further, most of the techniques have been evaluated on similar data set to provide a fair performance comparison. Analysis reveals that neither of the techniques is perfect; however, research community is progressively inching toward the finest possible solution.
机译：结肠癌每年导致约50万人死亡。它的常见检测方法是组织病理学组织分析，尽管可进行至关重要的诊断，但与病理学家的疲倦，经验和工作量显着相关。几十年来，研究人员一直在努力摆脱人工检查，并开发出可信赖的检测结肠癌的系统。在这方面，已经提出了几种基于结肠活检图像的光谱/空间分析以及结肠样本的血清和基因分析的技术。由于结肠癌检测技术的快速发展，非常需要对该领域的最新研究进行最新综述。本文的目的是讨论各种结肠癌检测技术。在本次调查中，我们根据所采用的方法和基础数据集对技术进行了分类，并提供了每个类别中技术的详细说明。此外，这项研究对各种结肠癌检测类别以及每个类别内的多种技术进行了广泛的比较。此外，大多数技术已在相似的数据集上进行了评估，以提供合理的性能比较。分析表明，这两种技术都不完美。但是，研究界正在逐步寻求最好的解决方案。

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