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Age-related Macular Degeneration detection using deep convolutional neural network., , , , , , , , , и 2 other автор(ы). Future Gener. Comput. Syst., (2018)Toward Safe Human Machine Interface and Computer-Aided Diagnostic Systems., , , , и . MetroXRAINE, стр. 236-241. IEEE, (2023)Computer-aided diagnosis of glaucoma using fundus images: A review., , , , , , , и . Comput. Methods Programs Biomed., (2018)Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection., , , и . ISSRE Workshops, стр. 249-254. IEEE, (2020)Deep learning for healthcare applications based on physiological signals: A review., , , , и . Comput. Methods Programs Biomed., (2018)Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal., , , , , , , , и . IEA/AIE (1), том 10350 из Lecture Notes in Computer Science, стр. 259-266. Springer, (2017)Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features., , , , , , и . J. Comput. Sci., (2017)Assuring the Safety of Machine Learning for Pedestrian Detection at Crossings., , , , , и . SAFECOMP, том 12234 из Lecture Notes in Computer Science, стр. 197-212. Springer, (2020)YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks With Clustering Small Dataset., и . CoRR, (2020)Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study., , , , , , , , , и 1 other автор(ы). Inf. Sci., (2017)