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Automated Data Selection Method for Diffuse Optical Tomography to Improve the Robustness of Breast Cancer Detection

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Abstract

In this paper, a method of outlier removal and data selection for ultrasound-guided diffuse optical tomography is introduced. The algorithm uses multiple datasets to compose a single robust dataset based on statistical analysis.

© 2016 Optical Society of America

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