乳腺癌筛查的数据挖掘

2015 10th International Conference on Computer Science & Education (ICCSE) Pub Date : 2015-07-22 DOI:10.1109/ICCSE.2015.7250219

S. Demigha

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引用次数: 11

摘要

数据挖掘是指从大量数据中提取或“挖掘”知识。数据挖掘的概念和技术已经应用于许多领域，如金融数据分析、零售业、电信业、生物数据分析和其他科学应用，在医学方面，但在放射学和图像方面的应用很少。本文提出了数据挖掘技术在乳腺成像中乳腺癌筛查的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data mining for breast cancer screening

Data Mining refers to extracting or “mining” knowledge from large amounts of data. Data Mining concepts and techniques have been applied in many fields such as Financial Data Analysis, Retail Industry, Telecommunication Industry, Biological Data Analysis and other Scientific Applications, in medicine but a little in radiology and imagery. We propose in this paper the application of Data Mining techniques in breast imaging for breast cancer screening.

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2015 10th International Conference on Computer Science & Education (ICCSE)

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