Segmentation of Left Ventricle in Short-Axis MR Images Based on Fully Convolutional Network and Active Contour Model

Advances in Intelligent Systems and Computing - Computational Intelligence Methods for Green Technology and Sustainable Development ◽

10.1007/978-3-030-62324-1_5 ◽

2020 ◽

pp. 49-59

Author(s):

Tien Thanh Tran ◽

Thi-Thao Tran ◽

Quoc Cuong Ninh ◽

Minh Duc Bui ◽

Van-Truong Pham

Keyword(s):

Left Ventricle ◽

Active Contour ◽

Active Contour Model ◽

Short Axis ◽

Mr Images ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Contour Model

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Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

Medical Physics ◽

10.1002/mp.13268 ◽

2018 ◽

Vol 46 (1) ◽

pp. 215-228 ◽

Cited By ~ 17

Author(s):

Yuzhou Hu ◽

Yi Guo ◽

Yuanyuan Wang ◽

Jinhua Yu ◽

Jiawei Li ◽

...

Keyword(s):

Active Contour ◽

Active Contour Model ◽

Breast Ultrasound ◽

Tumor Segmentation ◽

Ultrasound Images ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Contour Model

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Active contour model and nonlinear shape priors with application to left ventricle segmentation in cardiac MR images

Optik ◽

10.1016/j.ijleo.2015.10.162 ◽

2016 ◽

Vol 127 (3) ◽

pp. 991-1002 ◽

Cited By ~ 10

Author(s):

Van-Truong Pham ◽

Thi-Thao Tran

Keyword(s):

Left Ventricle ◽

Active Contour ◽

Active Contour Model ◽

Shape Priors ◽

Mr Images ◽

Cardiac Mr ◽

Contour Model ◽

Ventricle Segmentation

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Combining a Fully Convolutional Network and an Active Contour Model for Automatic 2D Breast Tumor Segmentation from Ultrasound Images

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2019.2752 ◽

2019 ◽

Vol 9 (7) ◽

pp. 1510-1515 ◽

Cited By ~ 1

Author(s):

Zhou Fang ◽

Mengyun Qiao ◽

Yi Guo ◽

Yuanyuan Wang ◽

Jiawei Li ◽

...

Keyword(s):

Breast Tumor ◽

Active Contour ◽

Active Contour Model ◽

Tumor Segmentation ◽

Ultrasound Images ◽

Convolutional Network ◽

Fully Convolutional Network ◽

Contour Model

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Left ventricle segmentation by combining convolution neural network with active contour model and tensor voting in short-axis MRI

2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm.2017.8217746 ◽

2017 ◽

Cited By ~ 1

Author(s):

Zewen Li ◽

Adan Lin ◽

Xuan Yang ◽

Junhao Wu

Keyword(s):

Neural Network ◽

Left Ventricle ◽

Active Contour ◽

Active Contour Model ◽

Convolution Neural Network ◽

Tensor Voting ◽

Short Axis ◽

Contour Model ◽

Ventricle Segmentation

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Automatic Left Ventricle Segmentation Using Iterative Thresholding and an Active Contour Model With Adaptation on Short-Axis Cardiac MRI

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2009.2014545 ◽

2010 ◽

Vol 57 (4) ◽

pp. 905-913 ◽

Cited By ~ 58

Author(s):

Hae-Yeoun Lee ◽

N.C.F. Codella ◽

M.D. Cham ◽

J.W. Weinsaft ◽

Yi Wang

Keyword(s):

Left Ventricle ◽

Cardiac Mri ◽

Active Contour ◽

Active Contour Model ◽

Short Axis ◽

Iterative Thresholding ◽

Contour Model ◽

Ventricle Segmentation

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MR Images Segmentation Based on Coupled Geometrical Active Contour Model to Anisotropic Diffusion Filtering

2007 1st International Conference on Bioinformatics and Biomedical Engineering ◽

10.1109/icbbe.2007.188 ◽

2007 ◽

Cited By ~ 1

Author(s):

Foued Derraz ◽

Abdelmalik Taleb-Ahmed ◽

Azzeddine Chikh ◽

Fethi Bereksi-Reguig

Keyword(s):

Anisotropic Diffusion ◽

Active Contour ◽

Active Contour Model ◽

Mr Images ◽

Diffusion Filtering ◽

Contour Model

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An automatic cerebellum extraction method in T1-weighted brain MR images using an active contour model with a shape prior

Magnetic Resonance Imaging ◽

10.1016/j.mri.2011.01.005 ◽

2011 ◽

Vol 29 (7) ◽

pp. 1014-1022 ◽

Cited By ~ 18

Author(s):

Jinyoung Hwang ◽

Junmo Kim ◽

Yeji Han ◽

HyunWook Park

Keyword(s):

Extraction Method ◽

Active Contour ◽

Active Contour Model ◽

Shape Prior ◽

Mr Images ◽

Contour Model ◽

Brain Mr Images

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Initial Point Prediction Based Parametric Active Contour Model for Left Ventricle Segmentation of CMRI Images

Proceedings of International Joint Conference on Computational Intelligence - Algorithms for Intelligent Systems ◽

10.1007/978-981-13-7564-4_45 ◽

2019 ◽

pp. 533-546

Author(s):

Md. Al Noman ◽

A. B. M. Aowlad Hossain ◽

Md. Asadur Rahman

Keyword(s):

Left Ventricle ◽

Active Contour ◽

Active Contour Model ◽

Initial Point ◽

Contour Model ◽

Ventricle Segmentation

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Multi-Atlas Based Adaptive Active Contour Model with Application to Organs at Risk Segmentation in Brain MR Images

IRBM ◽

10.1016/j.irbm.2020.10.007 ◽

2020 ◽

Author(s):

Y. Zhang ◽

J. Duan ◽

Y. Sa ◽

Y. Guo

Keyword(s):

At Risk ◽

Active Contour ◽

Active Contour Model ◽

Organs At Risk ◽

Mr Images ◽

Contour Model ◽

Brain Mr Images

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Random walk and graph cut based active contour model for three-dimension interactive pituitary adenoma segmentation from MR images

10.1117/12.2253990 ◽

2017 ◽

Author(s):

Min Sun ◽

Xinjian Chen ◽

Zhiqiang Zhang ◽

Chiyuan Ma

Keyword(s):

Random Walk ◽

Pituitary Adenoma ◽

Active Contour ◽

Active Contour Model ◽

Graph Cut ◽

Three Dimension ◽

Mr Images ◽

Contour Model

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