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Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms., , , , , , , , и . HAIS, том 10870 из Lecture Notes in Computer Science, стр. 547-557. Springer, (2018)Accuracy of cancer death certificates in Spain: a summary of available information, , , , , , и . Gaceta Sanitaria / S.E.S.P.A.S, (декабря 2006)PMID: 17433200.A multivariate regression approach for identification of SNPs importance in prostate cancer., , , , , и . J. Exp. Theor. Artif. Intell., 31 (6): 817-828 (2019)Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction., , , , , , , , , и . Comput. Methods Programs Biomed., 116 (2): 105-115 (2014)A deep learning framework to classify breast density with noisy labels regularization., , , , , , , , и . Comput. Methods Programs Biomed., (2022)A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation., , , , , , , , , и . Comput. Methods Programs Biomed., (2020)¿Quién teme al open access? Un movimiento en crecimiento, oportuno y necesario, , и . Gaceta Sanitaria, 29 (2): 139 - 141 (2015)Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts., , , , , , , , и . Comput. Methods Programs Biomed., (2019)