Hes-so Valais

Using MapReduce for Large–scale Medical Image Analysis

The growth of the amount of medical image data produced on a daily basis in modern hospitals forces the adaptation of traditional medical image analysis and indexing approaches towards scalable solutions. In this work, 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.

Additional information


Roger Schaer


Dimitrios Markonis, Roger Schaer, Ivan Eggel, Henning Müller, Adrien Depeursinge

Nom du congrès, lieu, date

HISB 2012, La Jolla (USA), du 27.09.2012 au 27.09.2012