Deep Learning as a Tool for Automatic Segmentation of Corneal Endothelium Images
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[1] Cris L. Luengo Hendriks,et al. Improving the stochastic watershed , 2013, Pattern Recognit. Lett..
[2] Motohide Yoshimura,et al. Convolution neural network for contour extraction of corneal endothelial cells , 2017, International Conference on Quality Control by Artificial Vision.
[3] Karolina Nurzynska,et al. Influence of applied corneal endothelium image segmentation techniques on the clinical parameters , 2017, Comput. Medical Imaging Graph..
[4] A. Ruggeri,et al. A system for the automatic estimation of morphometric parameters of corneal endothelium in alizarine red-stained images , 2010, British Journal of Ophthalmology.
[5] Adam Piórkowski,et al. Cell Detection in Corneal Endothelial Images Using Directional Filters , 2015, IP&C.
[6] Anna Fabijanska,et al. Corneal endothelium image segmentation using feedforward neural network , 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).
[7] M. Doughty. The ambiguous coef f icient of variation: Polymegethism of the corneal endothelium and central corneal thickness , 1990 .
[8] S. Duke-Elder,et al. Textbook of Ophthalmology , 1950 .
[9] Filip Malmberg,et al. Exact Evaluation of Stochastic Watersheds: From Trees to General Graphs , 2014, DGCI.
[10] Dominik Sankowski,et al. Noise adaptive switching median-based filter for impulse noise removal from extremely corrupted images , 2011 .
[11] Marek Kretowski,et al. MESA: Complete approach for design and evaluation of segmentation methods using real and simulated tomographic images , 2014 .
[12] Roberto de Alencar Lotufo,et al. Identification and segmentation of cells in images of donated corneas using mathematical morphology , 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).
[13] Anil K. Jain,et al. A modified Hausdorff distance for object matching , 1994, Proceedings of 12th International Conference on Pattern Recognition.
[14] M. Foracchia,et al. Corneal endothelium analysis by means of Bayesian shape modeling , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
[15] M. Aurangzeb Khan,et al. Endothelial Cell Image Enhancement using Non-subsampled Image Pyramid , 2007 .
[16] Karolina Nurzynska,et al. Shape parameters for automatic classification of snow particles into snowflake and graupel , 2013 .
[17] Karolina Nurzynska,et al. THE CORRELATION ANALYSIS OF THE SHAPE PARAMETERS FOR ENDOTHELIAL IMAGE CHARACTERISATION , 2016 .
[18] J. Aquavella,et al. Cell size-shape relationships in corneal endothelium. , 1982, Investigative ophthalmology & visual science.
[19] Issam Dagher,et al. WaterBalloons: A Hybrid Watershed Balloon Snake Segmentation , 2007, 2007 International Joint Conference on Neural Networks.
[20] H. Edelhauser,et al. Corneal endothelial morphology in the rat. Effects of aging, diabetes, and topical aldose reductase inhibitor treatment. , 1988, Investigative ophthalmology & visual science.
[21] Adam Piórkowski,et al. Towards Automated Cell Segmentation in Corneal Endothelium Images , 2014, IP&C.
[22] Nigel H Brookes,et al. Morphometry of organ cultured corneal endothelium using Voronoi segmentation , 2017, Cell and Tissue Banking.
[23] J. Pinoli,et al. Human visual perception and dissimilarity , 2013 .
[24] Adam Piórkowski. Best-Fit Segmentation Created Using Flood-Based Iterative Thinning , 2016, IP&C.
[25] M. Doughty. Concerning the symmetry of the 'hexagonal' cells of the corneal endothelium. , 1992, Experimental eye research.
[26] Khalid Saeed,et al. K3M: A universal algorithm for image skeletonization and a review of thinning techniques , 2010, Int. J. Appl. Math. Comput. Sci..
[27] Przemyslaw Mazurek,et al. Cell structures modeling using fractal generator and torus geometry , 2016, 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR).
[28] A. Ruggeri,et al. Corneal Endothelium Cell Field Analysis by means of Interacting Bayesian Shape Models , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[29] Luc Vincent,et al. Morphological image processing and network analysis of cornea endothelial cell images , 1992, Optics & Photonics.
[30] Filip Malmberg,et al. Fast Evaluation of the Robust Stochastic Watershed , 2015, ISMM.
[31] Kazuyoshi Itoh,et al. Generalization of shift invariant neural networks: Image processing of corneal endothelium , 1996, Neural Networks.
[32] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .
[33] Cris L. Luengo Hendriks,et al. Fully automatic evaluation of the corneal endothelium from in vivo confocal microscopy , 2015, BMC Medical Imaging.
[34] D. Reska,et al. Automatic segmentation of corneal endothelial cells using active contours , 2014 .
[35] M. Foracchia,et al. Cell contour detection in corneal endothelium in-vivo microscopy , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).
[36] Jean-Charles Pinoli,et al. A Geometric Dissimilarity Criterion Between Jordan Spatial Mosaics. Theoretical Aspects and Application to Segmentation Evaluation , 2011, Journal of Mathematical Imaging and Vision.
[37] B. Heise,et al. CELL SEGMENTATION USING LEVEL SET METHOD , 2007 .