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Effects of digital dewaxing methods on K-means-clusterized IR images collected on formalin-fixed paraffin-embedded samples of skin carcinoma., , , , , , , и . BIBE, стр. 1-6. IEEE, (2008)Machine learning techniques on homological persistence features for prostate cancer diagnosis., , , , и . BMC Bioinform., 23 (1): 476 (декабря 2022)FCM parameter estimation methods: Application to infrared spectral histology of human skin cancers., , , , , , и . EUSIPCO, стр. 1831-1835. IEEE, (2012)Features' selection based on weighted distance minimization, application to biodegradation process evaluation., , , , , и . EUSIPCO, стр. 2651-2655. IEEE, (2015)A least square approach for bidimensional source separation using higher order statistics criteria., , , и . EUSIPCO, стр. 1-5. IEEE, (2008)Wavelet subspace decomposition of thermal infrared images for defect detection in artworks., , , , , , и . CoRR, (2015)2D+t track detection via relative persistent homology., , , , и . Int. J. Imaging Syst. Technol., 31 (2): 753-762 (2021)Adaptive-neighborhood best mean rank vector filter for impulsive noise removal., , , , и . ICIP, стр. 813-816. IEEE, (2008)Digital dewaxing of Raman spectral images of paraffin-embedded human skin biopsies based on ICA and NCLS., , , , , и . EUSIPCO, стр. 1-5. IEEE, (2008)About importance of positivity constraint for source separation in fluorescence spectroscopy., , , , и . EUSIPCO, стр. 1-4. IEEE, (2005)