Spherical U-Net on Cortical Surfaces: Methods and Applications

Convolutional Neural Networks (CNNs) have been providing the state-of-the-art performance for learning-related problems involving 2D/3D images in Euclidean space. However, unlike in the Euclidean space, the shapes of many structures in medical imaging have a spherical topology in a manifold space, e...

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Bibliographic Details
Published inInformation Processing in Medical Imaging Vol. 11492; pp. 855 - 866
Main Authors Zhao, Fenqiang, Xia, Shunren, Wu, Zhengwang, Duan, Dingna, Wang, Li, Lin, Weili, Gilmore, John H., Shen, Dinggang, Li, Gang
Format Book Chapter Journal Article
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2019
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text
ISBN3030203506
9783030203504
ISSN0302-9743
1011-2499
1611-3349
DOI10.1007/978-3-030-20351-1_67

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