Using Pareto fronts to evaluate polyp detection algorithms for CT colonography

Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)


We evaluate and improve an existing curvature-based region growing algorithm for colonic polyp detection for our CT colonography (CTC) computer-aided detection (CAD) system by using Pareto fronts. The performance of a polyp detection algorithm involves two conflicting objectives, minimizing both false negative (FN) and false positive (FP) detection rates. This problem does not produce a single optimal solution but a set of solutions known as a Pareto front. Any solution in a Pareto front can only outperform other solutions in one of the two competing objectives. Using evolutionary algorithms to find the Pareto fronts for multi-objective optimization problems has been common practice for years. However, they are rarely investigated in any CTC CAD system because the computation cost is inherently expensive. To circumvent this problem, we have developed a parallel program implemented on a Linux cluster environment. A data set of 56 CTC colon surfaces with 87 proven positive detections of polyps sized 4 to 60 mm is used to evaluate an existing one-step, and derive a new two-step region growing algorithm. We use a popular algorithm, the Strength Pareto Evolutionary Algorithm (SPEA2), to find the Pareto fronts. The performance differences are evaluated using a statistical approach. The new algorithm outperforms the old one in 81.6% of the sampled Pareto fronts from 20 simulations. When operated at a suitable sensitivity level such as 90.8% (79/87) or 88.5% (77/87), the FP rate is decreased by 24.4% or 45.8% respectively.

主出版物標題Medical Imaging 2007
主出版物子標題Computer-Aided Diagnosis
版本PART 1
出版狀態已出版 - 2007
事件Medical Imaging 2007: Computer-Aided Diagnosis - San Diego, CA, United States
持續時間: 20 2月 200722 2月 2007


名字Progress in Biomedical Optics and Imaging - Proceedings of SPIE
號碼PART 1


???event.eventtypes.event.conference???Medical Imaging 2007: Computer-Aided Diagnosis
國家/地區United States
城市San Diego, CA


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