Particle method for segmentation of breast tumors in ultrasound images

DOI10.1016/J.MATCOM.2019.10.009OpenAlexW2982489330WikidataQ126835349 ScholiaQ126835349MaRDI QIDQ1997933

N. Karunanayake, P. Aimmanee, W. Lohitvisate, Stanislav S. Makhanov

Publication date: 6 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2019.10.009

zbMATH Keywords

particle methodsegmentation of medical imagesultrasound image processing

Mathematics Subject Classification ID

Computing methodologies and applications (68Uxx)

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Uses Software

• GitHub

Cites Work

• A local region-based Chan-Vese model for image segmentation
• Automated breast cancer detection and classification using ultrasound images: a survey
• A narrow band graph partitioning method for skin lesion segmentation
• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• Generalized gradient vector flow external forces for active contours
• Geodesic active contours
• Extrapolation of vector fields using the infinity Laplacian and with applications to image segmentation
• Optimal approximations by piecewise smooth functions and associated variational problems
• Active contours without edges
• Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
• Snakes, shapes, and gradient vector flow
• Improving Level Set Method for Fast Auroral Oval Segmentation
• Localizing Region-Based Active Contours
• Distance Regularized Level Set Evolution and Its Application to Image Segmentation
• Efficient Algorithm for Level Set Method Preserving Distance Function

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