Bladder MR Image Segmentation by Convex Global Optimization of Coupled Borders

Published: Aug 24, 2019
Abstract
In this study, a convex global optimization-based continuous max-flow (CGO-CMF) algorithm was proposed for the segmentation of bladder inner and outer walls on T2-weighted MR images (T2WI). Experimental results using 12 datasets of 3.0 T bladder T2WI datasets acquired from both volunteers and the patients with bladder cancer demonstrate a favorable performance and efficiency of the proposed approach for bladder segmentation, with the Dice...
Paper Details
Title
Bladder MR Image Segmentation by Convex Global Optimization of Coupled Borders
Published Date
Aug 24, 2019
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