A new kernel-based fuzzy level set method for automated segmentation of medical images in the presence of intensity inhomogeneity
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Publication:2262728
DOI10.1155/2014/978373zbMath1307.92222OpenAlexW2059670851WikidataQ41959527 ScholiaQ41959527MaRDI QIDQ2262728
Jamshid Shanbehzadeh, Maryam Rastgarpour
Publication date: 16 March 2015
Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/978373
Cites Work
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- Active contours without edges
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- Localizing Region-Based Active Contours
- Variational B-Spline Level-Set: A Linear Filtering Approach for Fast Deformable Model Evolution
- An Edge-Weighted Centroidal Voronoi Tessellation Model for Image Segmentation
- Distance Regularized Level Set Evolution and Its Application to Image Segmentation
- A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI
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