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Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma., , , , and . Expert Syst. Appl., (2018)Detection of masses in mammogram images using CNN, geostatistic functions and SVM., , , , and . Comput. Biol. Medicine, 41 (8): 653-664 (2011)Automatic segmentation of lung nodules with growing neural gas and support vector machine., , , and . Comput. Biol. Medicine, 42 (11): 1110-1121 (2012)Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM., , , , and . J. Digital Imaging, 28 (3): 323-337 (2015)Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine., , , , and . MLDM, volume 4571 of Lecture Notes in Computer Science, page 784-794. Springer, (2007)A mass classification using spatial diversity approaches in mammography images for false positive reduction., , , , and . Expert Syst. Appl., 40 (18): 7534-7543 (2013)Automatic mass detection in mammography images using particle swarm optimization and functional diversity indexes., , , and . Multimedia Tools Appl., 76 (18): 19263-19289 (2017)Texture analysis of masses malignant in mammograms images using a combined approach of diversity index and local binary patterns distribution., , , , and . Expert Syst. Appl., (2016)Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM., , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (3): 315-330 (2018)Texture based on geostatistic for glaucoma diagnosis from fundus eye image., , , , , and . Multim. Tools Appl., 76 (18): 19173-19190 (2017)