BriefGPT.xyz
Jun, 2020
基于归一化流的医学图像分割不确定性量化
Uncertainty quantification in medical image segmentation with Normalizing Flows
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Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
TL;DR
提出了一种基于条件归一化流变换的新型条件生成模型cFlow Net,用于医学图像分割领域,实验结果表明在定性定量指标上相比最近的cVAE基于的模型有显著提高。
Abstract
medical image segmentation
is inherently an ambiguous task due to factors such as partial volumes and variations in
anatomical definitions
. While in most cases the
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