Improved graph cut model with features of superpixels and neighborhood patches for myocardium segmentation from ultrasound image

DOI10.3934/mbe.2019053zbMath1497.92149OpenAlexW2914679945WikidataQ92853229 ScholiaQ92853229MaRDI QIDQ2160631

Yinong Wang, Qianjin Feng, Xiangfen Song, Qing Wang

Publication date: 3 August 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2019053

zbMATH Keywords

myocardiumultrasound imagesuperpixelsgraph cut modelneighborhood patchessemi-supervised segmentation

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Related Items (2)

Multilevel thresholding using a modified ant lion optimizer with opposition-based learning for color image segmentation ⋮ Editorial: Advanced computer methods and programs in biomedicine

Uses Software

• GrabCut
• NURBS

Cites Work

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• An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing
• Nonlocal means-based speckle filtering for ultrasound images
• A Review of Image Denoising Algorithms, with a New One

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