PURPOSE: Ensemble segmentation methods combine the segmentation results of individual methods into a final one, with the goal of achieving greater robustness and accuracy. The goal of this study was to develop an ensemble segmentation framework for glioblastoma multiforme tumors on single-channel T1w postcontrast magnetic resonance images. METHODS: Three base methods were evaluated in the framework: fuzzy connectedness, GrowCut, and voxel classification using support vector machine. A confidence map averaging (CMA) method was used as the ensemble rule. RESULTS: The performance is evaluated on a comprehensive dataset of 46 cases including different tumor appearances. The accuracy of the segmentation result was evaluated using the F1-measure between the semiautomated segmentation result and the ground truth. CONCLUSIONS: The results showed that the CMA ensemble result statistically approximates the best segmentation result of all the base methods for each case.
PURPOSE: Ensemble segmentation methods combine the segmentation results of individual methods into a final one, with the goal of achieving greater robustness and accuracy. The goal of this study was to develop an ensemble segmentation framework for glioblastoma multiforme tumors on single-channel T1w postcontrast magnetic resonance images. METHODS: Three base methods were evaluated in the framework: fuzzy connectedness, GrowCut, and voxel classification using support vector machine. A confidence map averaging (CMA) method was used as the ensemble rule. RESULTS: The performance is evaluated on a comprehensive dataset of 46 cases including different tumor appearances. The accuracy of the segmentation result was evaluated using the F1-measure between the semiautomated segmentation result and the ground truth. CONCLUSIONS: The results showed that the CMA ensemble result statistically approximates the best segmentation result of all the base methods for each case.
Authors: Zhenxi Song; Liangyu Xu; Jiang Wang; Reza Rasti; Ananth Sastry; Jianwei D Li; William Raynor; Joseph A Izatt; Cynthia A Toth; Lejla Vajzovic; Bin Deng; Sina Farsiu Journal: Am J Ophthalmol Date: 2020-07-21 Impact factor: 5.258