Cardiac segmentation by a velocity-aided active contour model-Reference-Cited by-同舟云学术

Cardiac segmentation by a velocity-aided active contour model

Published:2006-01 Issue:1 Volume:30 Page:31-41
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Cho Jinsoo,Benkeser Paul J.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference18 articles.

1. Impact of semiautomated versus manual image segmentation errors on myocardial strain calculation by magnetic resonance tagging;Bazille;Invest Radiol,1994

2. Snakes: active contour models;Kass;Int J Comput Vis,1987

3. On active contour models and balloons;Cohen;CVGIP: Image Und,1991

4. Prince JL, Xu C. A new external force model for snakes. Image and multidimensional signal processing workshop; 1996. p. 30–1.

5. Xu C, Prince JL. Gradient vector flow: a new external force for snakes. IEEE proceedings of the conference on computer vision and pattern recognition; 1997. p. 66–71.

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated segmentation of biventricular contours in tissue phase mapping using deep learning;NMR in Biomedicine;2021-09-02

2. Left ventricular MRI wall motion assessment by monogenic signal amplitude image computation;Magnetic Resonance Imaging;2018-12

3. Magnetic resonance imaging of myocardial strain: A review of current approaches;Journal of Magnetic Resonance Imaging;2017-05-04

4. Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging;Journal of Magnetic Resonance Imaging;2017-02-15

5. A framework combining window width-level adjustment and Gaussian filter-based multi-resolution for automatic whole heart segmentation;Neurocomputing;2017-01