A method for lung boundary correction using split Bregman method and geometric active contour model
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Publication:308847
DOI10.1155/2015/789485zbMath1344.92085OpenAlexW1497247270WikidataQ35668976 ScholiaQ35668976MaRDI QIDQ308847
Changli Feng, Rui Liang, Jian-Xun Zhang
Publication date: 6 September 2016
Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/789485
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Cites Work
- Unnamed Item
- Geometric applications of the split Bregman method: segmentation and surface reconstruction
- Split Bregman method for minimization of improved active contour model combining local and global information dynamically
- Active contours driven by local image fitting energy
- Advances in the implementation of the box-counting method of fractal dimension estimation
- Active contours driven by local Gaussian distribution fitting energy
- An efficient local Chan-Vese model for image segmentation
- Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
- Active contours without edges
- Snakes, shapes, and gradient vector flow
- Minimization of Region-Scalable Fitting Energy for Image Segmentation
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