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Jan, 2019
一种基于距离映射正则化的卷积神经网络用于心脏 Cine MR 图像分割
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation
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Shusil Dangi, Ziv Yaniv, Cristian Linte
TL;DR
本研究提出一种基于多任务学习的心脏MR图像分割正则化框架,通过在现有CNN体系结构的瓶颈层中添加距离映射正则化器来优化全局特征学习,使CNN的分割性能得到提升。
Abstract
cardiac image segmentation
is a critical process for generating personalized models of the heart and for quantifying cardiac performance parameters. Several
convolutional neural network
(CNN) architectures have b
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