Suppr超能文献

宫颈癌智能筛查系统

Intelligent screening systems for cervical cancer.

作者信息

Jusman Yessi, Ng Siew Cheok, Abu Osman Noor Azuan

机构信息

Department of Biomedical Engineering, Faculty of Engineering Building, University of Malaya, 50603 Kuala Lumpur, Malaysia.

出版信息

ScientificWorldJournal. 2014;2014:810368. doi: 10.1155/2014/810368. Epub 2014 May 11.

Abstract

Advent of medical image digitalization leads to image processing and computer-aided diagnosis systems in numerous clinical applications. These technologies could be used to automatically diagnose patient or serve as second opinion to pathologists. This paper briefly reviews cervical screening techniques, advantages, and disadvantages. The digital data of the screening techniques are used as data for the computer screening system as replaced in the expert analysis. Four stages of the computer system are enhancement, features extraction, feature selection, and classification reviewed in detail. The computer system based on cytology data and electromagnetic spectra data achieved better accuracy than other data.

摘要

医学图像数字化的出现催生了众多临床应用中的图像处理和计算机辅助诊断系统。这些技术可用于自动诊断患者或为病理学家提供第二意见。本文简要回顾了宫颈筛查技术、优点和缺点。筛查技术的数字数据被用作计算机筛查系统的数据,取代了专家分析。详细回顾了计算机系统的四个阶段:增强、特征提取、特征选择和分类。基于细胞学数据和电磁光谱数据的计算机系统比其他数据取得了更高的准确率。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验