LEVEL SETS AND COMPUTATIONAL INTELLIGENCE ALGORITHMS TO MEDICAL IMAGE ANALYSIS IN E-MEDICUS SYSTEM
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[1] T. Rymarczyk,et al. e-Medicus System to Segmentation and Analysis Medical Images , 2017 .
[2] Bin Wang,et al. A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method , 2013, IEEE Transactions on Cybernetics.
[3] J. Sikora,et al. A piecewise-constant minimal partition problem in the image reconstruction , 2009 .
[4] Chunming Li,et al. Minimization of Region-Scalable Fitting Energy for Image Segmentation , 2008, IEEE Transactions on Image Processing.
[5] T. Rymarczyk. Characterization of the shape of unknown objects by inverse numerical methods , 2012 .
[6] D. Mumford,et al. Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .
[7] Harold S Rabinovitz,et al. Dermoscopy of pigmented skin lesions. , 2005, Journal of the American Academy of Dermatology.
[8] Ronald Fedkiw,et al. Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.
[9] J. Sethian,et al. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .
[10] Guanglei Xiong,et al. Automated Segmentation of Drosophila RNAi Fluorescence Cellular Images Using Deformable Models , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.
[11] R. Johr. Dermoscopy: alternative melanocytic algorithms-the ABCD rule of dermatoscopy, Menzies scoring method, and 7-point checklist. , 2002, Clinics in dermatology.
[12] Wilhelm Stolz,et al. Color Atlas of Dermatoscopy , 1991 .