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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Published in | Information Processing in Medical Imaging Vol. 11492; pp. 855 - 866 |
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Main Authors | , , , , , , , , |
Format | Book Chapter Journal Article |
Language | English |
Published |
Switzerland
Springer International Publishing AG
01.01.2019
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 3030203506 9783030203504 |
ISSN | 0302-9743 1011-2499 1611-3349 |
DOI | 10.1007/978-3-030-20351-1_67 |
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