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

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.