Automatic segmentation of cell nuclei using Krill Herd optimization based multi-thresholding and Localized Active Contour Model

Tavassoli, 2003 Chan, 2001, Active contours without edges, IEEE Trans Image Process, 10, 266, 10.1109/83.902291 Doyle, 2007, Automated grading of prostate cancer using architectural and textural image features, 1284 Rousson, 2002, Shape priors for level set representation, 78 Bresson, 2003, A priori information in image segmentation: energy functional based on shape statistical model and image information, 3, 425 Sagiv, 2006, Integrated active contours for texture segmentation, IEEE Trans Image Process, 15, 1633, 10.1109/TIP.2006.871133 Fatakdawala, 2010, Expectation maximization driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology, IEEE Trans Biomed Eng, 57, 1676, 10.1109/TBME.2010.2041232 Fang, 2007, Statistical shape influence in geodesic active contours, 40, 2163 Ali, 2012, An integrated region-, boundary-, shapebased active contour for multiple object overlap resolution in histological imagery, IEEE Trans Med Imaging, 31, 1448, 10.1109/TMI.2012.2190089 Lankton, 2008, Localizing region-based active contours, IEEE Trans Image Process, 17, 2029, 10.1109/TIP.2008.2004611 Gandomi, 2012, Krill herd: a new bio-inspired optimization algorithm, Commun Nonlinear Sci Numer Simul, 17, 4831, 10.1016/j.cnsns.2012.05.010 Bartler, 1977, Computer analysis and biomedical interpretation of microscopic images: current problems and future directions Yin, 1999, A fast scheme for multilevel thresholding using genetic algorithms, Signal Process, 85, 10.1016/S0165-1684(98)00167-4 Fogel, 2000 Chuang, 2006, Fuzzy c-means clustering with spatial information for image segmentation, Comput Med Imaging Graph, 30, 9, 10.1016/j.compmedimag.2005.10.001 Anari, 2010, Computer-aided detection of proliferative cells and mitosis index in immunohistichemically images of meningioma, 1 Maitra, 2008, A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding, Expert Syst Appl, 34, 1341, 10.1016/j.eswa.2007.01.002 Akay, 2012, A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding, Appl Soft Comput, 13, 3066, 10.1016/j.asoc.2012.03.072 Kapur, 1985, A new method for gray-level picture thresholding using the entropy of the histogram, Comput Vis Graph Image Process, 273, 10.1016/0734-189X(85)90125-2 Geem, 2001, A new heuristic optimization algorithm: harmony search, Simulation, 76, 60, 10.1177/003754970107600201 Sathya, 2011, Optimal multilevel thresholding using bacterial foraging algorithm, Expert Syst Appl, 38, 15549, 10.1016/j.eswa.2011.06.004 Gurcan, 2006, Image analysis for neuroblastoma classification: segmentation of cell nuclei, 4844 Beevi K., 2014, Automatic segmentation and classification of mitotic cell nuclei in histopathology images based on active contour model, 740 Sertel, 2009, Computeraided prognosis of neuroblastoma: detection of mitosis and karyorrhexis cells in digitized histological images, 1433 Dalle, 2009, Nuclear pleomorphism scoring by selective cell nuclei detection Wahlby, 2004, Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections, J Microsc, 215, 67, 10.1111/j.0022-2720.2004.01338.x Cosatto, 2008, Grading nuclear pleomorphism on histological micrographs, 1 Al-Kofahi, 2010, Improved automatic detection and segmentation of cell nuclei in histopathology images, IEEE Trans Biomed Eng, 57, 841, 10.1109/TBME.2009.2035102 Veta, 2011, Marker-controlled watershed segmentation of nuclei in H & E stained breast cancer biopsy images, 618 Irshad, 2013, Automated mitosis detection in histopathology using morphological and multi-channel statistics features, J Pathol Inform, 4, 10, 10.4103/2153-3539.112695 Beevi K., 2015, Analysis of nuclei detection with stain normalization in histopathology images Indian, J Sci Technol, 8, 234 Wienert, 2012, Detection and segmentation of cell nuclei in virtual microscopy images: a minimum-model approach, Sci Rep, 2 Veta, 2013, Automatic nuclei segmentation in H&E stained breast cancer histopathology images, PLoS ONE, 8, 274 Chang, 2012, Nuclear segmentation in H&E sections via multi-reference graph cut (MRGC), 614 Qi, 2012, Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set, IEEE Trans Biomed Eng, 59, 754 John, 2016, A novel approach for detection and delineation of cell nuclei using feature similarity index measure, Biocybern Biomed Eng, 36, 76, 10.1016/j.bbe.2015.11.002 Veta, 2014, Breast cancer histopathology image analysis: a review, IEEE Trans Biomed Eng, 61 Qi, 2012, Robust segmentation of overlapping cells in histopathology specimens using parallel seed detection and repulsive level set, IEEE Trans Biomed Eng, 59, 754 Jung, 2010, Unsupervised segmentation of overlapped nuclei using Bayesian classification, IEEE Trans Biomed Eng, 57, 2825, 10.1109/TBME.2010.2060486 Veta, 2013, Automatic nuclei segmentation in H&E stained breast cancer histopathology images, PLoS ONE, 8, e70221, 10.1371/journal.pone.0070221 Naik, 2008, Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology, 284 Kong, 2011, Partitioning histopathological images: an integrated framework for supervised color texture segmentation and cell splitting, IEEE Trans Med Imaging, 30, 1661, 10.1109/TMI.2011.2141674 Khan, 2014, A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution, IEEE Trans Biomed Eng, 61, 1729, 10.1109/TBME.2014.2303294 Yamane, 2002, An optimal noise removal using adaptive Wiener filter based on locally stationary Gaussian mixture distribution model for images, 993 Kass, 1988, Snakes: active contour models, Int J Comput Vis, 1, 321, 10.1007/BF00133570 Osher, 2003 Caselles, 1997, Geodesic active contours, Int J Comput Vis, 22, 61, 10.1023/A:1007979827043 Yezzi, 2002, A fully global approach to image segmentation via coupled curve evolution equations, J Vis Commun Image Rep, 13, 195, 10.1006/jvci.2001.0500 MITOS, ICPR 2014 Contest, IPAL UMI CNRS Lab Std., Available form: http://ipal.cnrs.fr/ICPR2014. Kowalski, 2014, Experimental study of selected parameters of Krill Herd algorithm, Artif Intell Soft Comput, 294 Lu, 2014, Toward automatic mitotic cell detection and segmentation in multi spectral histopathological images, IEEE J Biomed Health Inf, 18, 850