Myocardium Segmentation From DE MRI Using Multicomponent Gaussian Mixture Model and Coupled Level Set

2017 ◽  
Vol 64 (11) ◽  
pp. 2650-2661 ◽  
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Level Set ◽  
Gaussian Mixture

scholarly journals Automated segmentation of intraretinal cystoid macular edema based on Gaussian mixture model

2019 ◽  
Vol 13 (01) ◽  
pp. 1950020
Author(s):  
Jinghong Wu ◽  
Sijie Niu ◽  
Qiang Chen ◽  
Wen Fan ◽  
Songtao Yuan ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Level Set ◽  
Spatial Information ◽  
High Sensitivity ◽  
Gaussian Mixture ◽  
Automated Segmentation ◽  
Potential Fluid ◽  
Sd Oct

We introduce a method based on Gaussian mixture model (GMM) clustering and level-set to automatically detect intraretina fluid on diabetic retinopathy (DR) from spectral domain optical coherence tomography (SD-OCT) images in this paper. First, each B-scan is segmented using GMM clustering. The original clustering results are refined using location and thickness information. Then, the spatial information among every consecutive five B-scans is used to search potential fluid. Finally, the improved level-set method is used to obtain the accurate boundaries. The high sensitivity and accuracy demonstrated here show its potential for detection of fluid.

Arbitrary oriented multilingual text detection and segmentation using level set and Gaussian mixture model

2020 ◽  
Author(s):  
H. T. Basavaraju ◽  
V. N. Manjunath Aradhya ◽  
M. S. Pavithra ◽  
D. S. Guru ◽  
Vikrant Bhateja
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Level Set ◽  
Gaussian Mixture ◽  
Text Detection ◽  
Multilingual Text
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