Cascaded residual U-net for fully automatic segmentation of 3D carotid artery in high-resolution multi-contrast MR images

2020 ◽  
Author(s):  
Chenglu Zhu ◽  
Xiaoyan Wang ◽  
Zhongzhao Teng ◽  
Sheng-Yong Chen ◽  
Xiaojie Huang ◽  
...  
Keyword(s):  
High Resolution ◽  
Carotid Artery ◽  
Automatic Segmentation ◽  
Mr Images ◽  
Fully Automatic

Fully automatic segmentation on prostate MR images based on cascaded fully convolution network

2018 ◽  
Vol 49 (4) ◽  
pp. 1149-1156 ◽  
Author(s):  
Yi Zhu ◽  
Rong Wei ◽  
Ge Gao ◽  
Lian Ding ◽  
Xiaodong Zhang ◽  
...  
Keyword(s):  
Automatic Segmentation ◽  
Mr Images ◽  
Fully Automatic

Hypothalamus fully automatic segmentation from MR images using a U-Net based architecture

2020 ◽  
Author(s):  
Livia Rodrigues ◽  
Thiago Rezende ◽  
Ariane Zanesco ◽  
Ana Luisa Hernandez ◽  
Marcondes Franca ◽  
...  
Keyword(s):  
Automatic Segmentation ◽  
Mr Images ◽  
Fully Automatic

scholarly journals Bayes Clustering and Structural Support Vector Machines for Segmentation of Carotid Artery Plaques in Multicontrast MRI

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Qiu Guan ◽  
Bin Du ◽  
Zhongzhao Teng ◽  
Jonathan Gillard ◽  
Shengyong Chen
Keyword(s):  
Carotid Artery ◽  
Automatic Segmentation ◽  
Support Vector ◽  
Classification Models ◽  
Mr Images ◽  
Carotid Artery Plaque ◽  
Structural Support ◽  
Vector Machines ◽  
Better Than

Accurate segmentation of carotid artery plaque in MR images is not only a key part but also an essential step for in vivo plaque analysis. Due to the indistinct MR images, it is very difficult to implement the automatic segmentation. Two kinds of classification models, that is, Bayes clustering and SSVM, are introduced in this paper to segment the internal lumen wall of carotid artery. The comparative experimental results show the segmentation performance of SSVM is better than Bayes.

Automatic segmentation and plaque characterization in atherosclerotic carotid artery MR images

2004 ◽  
Vol 16 (5) ◽  
pp. 227-234 ◽  
Author(s):  
I. M. Adame ◽  
R. J. van der Geest ◽  
B. A. Wasserman ◽  
M. A. Mohamed ◽  
J. H. C. Reiber ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Automatic Segmentation ◽  
Plaque Characterization ◽  
Mr Images

Fully automatic segmentation of white matter hyperintensities in MR images of the elderly

NeuroImage ◽  
2005 ◽  
Vol 28 (3) ◽  
pp. 607-617 ◽  
Author(s):  
F. Admiraal-Behloul ◽  
D.M.J. van den Heuvel ◽  
H. Olofsen ◽  
M.J.P. van Osch ◽  
J. van der Grond ◽  
...  
Keyword(s):  
White Matter ◽  
White Matter Hyperintensities ◽  
Automatic Segmentation ◽  
The Elderly ◽  
Mr Images ◽  
Fully Automatic

scholarly journals Deep learning‐based fully automatic segmentation of wrist cartilage in MR images

2020 ◽  
Vol 33 (8) ◽  
Author(s):  
Ekaterina Brui ◽  
Aleksandr Y. Efimtcev ◽  
Vladimir A. Fokin ◽  
Remi Fernandez ◽  
Anatoliy G. Levchuk ◽  
...  
Keyword(s):  
Deep Learning ◽  
Automatic Segmentation ◽  
Mr Images ◽  
Fully Automatic

Fast Fully Automatic Segmentation of the Myocardium in 2D Cine MR Images

2013 ◽  
pp. 71-79 ◽  
Author(s):  
Sandro Queirós ◽  
Daniel Barbosa ◽  
Brecht Heyde ◽  
Pedro Morais ◽  
Denis Friboulet ◽  
...  
Keyword(s):  
Automatic Segmentation ◽  
Mr Images ◽  
Cine Mr ◽  
Fully Automatic
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