使用拓扑和位置建模相结合的乳房x线照相微钙化簇的分类

Oluwaseun Ashiru, R. Zwiggelaar
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引用次数: 2

摘要

我们通过结合两种现有的方法研究了乳房x线照片中微钙化簇的分类。其中一种方法是提取并使用微钙化簇的拓扑信息(连通性)作为特征向量来对其进行良性或恶性分类。另一种方法涉及提取和使用微钙化簇的位置细节(它们出现在乳房和/或乳房x光片中的位置)作为特征向量,将其分类为良性或恶性。我们已经研究了这两种方法及其组合的各个方面。我们基于MIAS和DDSM的初步结果表明,拓扑方法本身没有显著的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of mammographic microcalcification clusters using a combination of topological and location modelling
We have investigated the classification of micro-calcification clusters in mammograms by combining two existing approaches. One of the approaches involves extracting and using topological information (connectivity) about micro-calcification clusters as feature vectors to classify them as being benign or malignant. The other approach involves extracting and using location details of micro-calcification clusters (where they appear in a breast and/or mammogram) as feature vectors to classify them as being benign or malignant. We have investigated various aspects of both methods and their combination. Our initial results, based on MIAS and DDSM indicate no significant improvement over the topological approach on its own.
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