Dependence of shape-based descriptors and mass segmentation areas on initial contour placement using the Chan-Vese method on digital mammograms

DOI10.1155/2015/349874zbMath1335.92045OpenAlexW1543338754WikidataQ36032183 ScholiaQ36032183MaRDI QIDQ278091

W. I. D. Rae, S. N. Acho

Publication date: 2 May 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/349874

zbMATH Keywords

Bland-Altman analysisChan-Vese methoddigital mammograms

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Cites Work

• Nonlinear total variation based noise removal algorithms
• Segmentation of regions of interest using active contours with SPF function
• A spatial shape constrained clustering method for mammographic mass segmentation
• Active contours driven by local image fitting energy
• An efficient local Chan-Vese model for image segmentation
• Active contours without edges
• Minimization of Region-Scalable Fitting Energy for Image Segmentation
• Localizing Region-Based Active Contours

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