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Improving gene quantification by adjustable spot-image restoration., , , , , , , , и . Bioinform., 23 (17): 2265-2272 (2007)A comparative study of individual and ensemble majority vote cDNA microarray image segmentation schemes, originating from a spot-adjustable based restoration framework., , , , и . Comput. Methods Programs Biomed., 95 (1): 72-88 (2009)Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme., , , , , , , , и . Comput. Methods Programs Biomed., 90 (3): 251-261 (2008)A hybrid pixel-based classification method for blood vessel segmentation and aneurysm detection on CTA., , , , , , , , , и . Comput. Graph., 31 (3): 493-500 (2007)Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features., , , , , , , , и . Comput. Methods Programs Biomed., 89 (1): 24-32 (2008)Biomarker Selection System, Employing an Iterative Peak Selection Method, for Identifying Biomarkers Related to Prostate Cancer., , , , , , , и . CAIP, том 4673 из Lecture Notes in Computer Science, стр. 197-204. Springer, (2007)Assessing Estrogen Receptors' Status by Texture Analysis of Breast Tissue Specimens and Pattern Recognition Methods., , , , , , , и . CAIP, том 4673 из Lecture Notes in Computer Science, стр. 221-228. Springer, (2007)Non-linear Least Squares Features Transformation for Improving the Performance of Probabilistic Neural Networks in Classifying Human Brain Tumors on MRI., , , , , , , , и . ICCSA (3), том 4707 из Lecture Notes in Computer Science, стр. 239-247. Springer, (2007)Biomarker Selection, Employing an Iterative Peak Selection Method, and Prostate Spectra Characterization for Identifying Biomarkers Related to Prostate Cancer., , , , , и . ICCSA (3), том 4707 из Lecture Notes in Computer Science, стр. 566-574. Springer, (2007)A multi-classifier system for the characterization of normal, infectious, and cancerous prostate tissues employing transrectal ultrasound images., , , , , , , , и . Comput. Methods Programs Biomed., 97 (1): 53-61 (2010)