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SlicerSALT: Shape AnaLysis Toolbox.

作者信息

Vicory Jared, Pascal Laura, Hernandez Pablo, Fishbaugh James, Prieto Juan, Mostapha Mahmoud, Huang Chao, Shah Hina, Hong Junpyo, Liu Zhiyuan, Michoud Loic, Fillion-Robin Jean-Christophe, Gerig Guido, Zhu Hongtu, Pizer Stephen M, Styner Martin, Paniagua Beatriz

机构信息

Kitware, Inc.

New York University.

出版信息

Shape Med Imaging (2018). 2018 Sep;11167:65-72. doi: 10.1007/978-3-030-04747-4_6. Epub 2018 Nov 23.


DOI:10.1007/978-3-030-04747-4_6
PMID:31032495
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6482453/
Abstract

SlicerSALT is an open-source platform for disseminating state-of-the-art methods for performing statistical shape analysis. These methods are developed as 3D Slicer extensions to take advantage of its powerful underlying libraries. SlicerSALT itself is a heavily customized 3D Slicer package that is designed to be easy to use for shape analysis researchers. The packaged methods include powerful techniques for creating and visualizing shape representations as well as performing various types of analysis.

摘要

相似文献

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本文引用的文献

[1]
ESTIMATING SHAPE CORRESPONDENCE FOR POPULATIONS OF OBJECTS WITH COMPLEX TOPOLOGY.

Proc IEEE Int Symp Biomed Imaging. 2018-4

[2]
Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies.

Front Neurosci. 2015-6-11

[3]
Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline.

Front Neuroinform. 2014-2-6

[4]
3D Slicer as an image computing platform for the Quantitative Imaging Network.

Magn Reson Imaging. 2012-7-6

[5]
FreeSurfer.

Neuroimage. 2012-1-10

[6]
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Med Image Comput Comput Assist Interv. 2011

[7]
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Neuroimage. 2011-9-16

[8]
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Insight J. 2006

[9]
Multiscale Adaptive Regression Models for Neuroimaging Data.

J R Stat Soc Series B Stat Methodol. 2011-9

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