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Papers Published

1. AH Baydush, DM Catarious, JY Lo, CE Floyd, Incorporation of a Laguerre-Gauss channelized Hotelling observer for false-positive reduction in a mammographic mass CAD system., Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology, United States, vol. 20 no. 2 (June, 2007), pp. 196-202 .
   (last updated on 2009/07/03)

   Abstract:
   Previously, we developed a simple Laguerre-Gauss (LG) channelized Hotelling observer (CHO) for incorporation into our mass computer-aided detection (CAD) system. This LG-CHO was trained using initial detection suspicious region data and was empirically optimized for free parameters. For the study presented in this paper, we wish to create a more optimal mass detection observer based on a novel combination of LG channels. A large set of LG channels with differing free parameters was created. Each of these channels was applied to the suspicious regions, and an output test statistic was determined. A stepwise feature selection algorithm was used to determine which LG channels would combine best to detect masses. These channels were combined using a HO to create a single template for the mass CAD system. Results from free-response receiver operating characteristic curves demonstrated that the incorporation of the novel LG-CHO into the CAD system slightly improved performance in high-sensitivity regions.

   Keywords:
   Algorithms* • Area Under Curve • Artificial Intelligence • Breast • Breast Neoplasms • Databases as Topic • Decision Support Techniques • Diagnosis, Computer-Assisted* • False Positive Reactions • Female • Humans • Image Processing, Computer-Assisted • Mammography* • Pattern Recognition, Automated • ROC Curve • Radiographic Image Interpretation, Computer-Assisted • pathology • radiography • statistics & numerical data