基于MapReduce的大规模医学图像分析

2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology Pub Date : 2012-09-27 DOI:10.1109/HISB.2012.8

Dimitrios Markonis, Roger Schaer, Ivan Eggel, H. Müller, A. Depeursinge

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引用次数: 64

摘要

本文利用MapReduce加速并实现了三个大规模医学图像处理用例:(i)基于支持向量机(SVM)的肺纹理分类参数优化，(ii)基于内容的医学图像索引，(iii)用于实体纹理分类的三维定向小波分析。

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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Using MapReduce for Large-Scale Medical Image Analysis

In this paper, MapReduce is used to speed up and make possible three large-scale medical image processing use-cases: (i) parameter optimization for lung texture classification using support vector machines (SVM), (ii) content-based medical image indexing, and (iii) three-dimensional directional wavelet analysis for solid texture classification.

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来源期刊

2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology

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