Observer Variability in BI-RADS Ultrasound Features and Its Influence on Computer-Aided Diagnosis of Breast Masses
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53047#.VLSJdsnQrzE Author(s) Laith R. Sultan 1* , Ghizlane Bouzghar 1 , Benjamin J. Levenback 1 , Nauroze A. Faizi 1 , Santosh S. Venkatesh 2 , Emily F. Conant 1 , Chandra M. Sehgal 1 Affiliation(s) 1 Department of Radiology, University of Pennsylvania, Philadelphia, USA . 2 Department of Electrical Engineering, University of Pennsylvania, Philadelphia, USA . ABSTRACT Objective: Computer classification of sonographic BI-RADS features can aid differentiation of the malignant and benign masses. However, the variability in the diagnosis due to the differences in the observed features between the observations is not known. The goal of this study is to measure the variation in sonographic features between multiple observations and determine the effect of features variation on computer-aided diagnosis of the breast masses. Materials and Methods: Ultrasoun...