Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Algorithms (1)
- CAD (1)
- CAD systems (1)
- CT colonography (1)
- CTC (1)
-
- Colon (1)
- Colonic polyp detection (1)
- Computer aided diagnosis (1)
- Computer aided diagnosis and therapy (1)
- Computer-aided design (1)
- Computer-aided detection (1)
- Computer-aided diagnosis (1)
- Computerized tomography (1)
- Computing systems (1)
- Cost effectiveness (1)
- Database systems (1)
- Detection and tracking algorithms (1)
- Evolutionary algorithms (1)
- Growing algorithm (1)
- Mathematics (1)
- Optimization (1)
- Parallel programming (1)
- Pareto front (1)
- Pareto principle (1)
- Polyp detection (1)
- Problem solving (1)
Articles 1 - 2 of 2
Full-Text Articles in Engineering
Using Pareto Fronts To Evaluate Polyp Detection Algorithms For Ct Colonography, Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara
Using Pareto Fronts To Evaluate Polyp Detection Algorithms For Ct Colonography, Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara
Electrical & Computer Engineering Faculty Publications
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 …
Validating Pareto Optimal Operation Parameters Of Polyp Detection Algorithms For Ct Colonography, Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers, Maryellen L. Giger (Ed.), Nico Karssemeijer (Ed.)
Validating Pareto Optimal Operation Parameters Of Polyp Detection Algorithms For Ct Colonography, Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers, Maryellen L. Giger (Ed.), Nico Karssemeijer (Ed.)
Electrical & Computer Engineering Faculty Publications
We evaluated a Pareto front-based multi-objective evolutionary algorithm for optimizing our CT colonography (CTC) computer-aided detection (CAD) system. The system identifies colonic polyps based on curvature and volumetric based features, where a set of thresholds for these features was optimized by the evolutionary algorithm. We utilized a two-fold cross-validation (CV) method to test if the optimized thresholds can be generalized to new data sets. We performed the CV method on 133 patients; each patient had a prone and a supine scan. There were 103 colonoscopically confirmed polyps resulting in 188 positive detections in CTC reading from either the prone or …