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Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm., , и . Multim. Tools Appl., 83 (7): 21347-21368 (2024)An enhancement in automatic seed selection in breast cancer ultrasound images using texture features., , и . ICACCI, стр. 1096-1102. IEEE, (2016)Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound., , , и . Int. J. Imaging Syst. Technol., 32 (4): 1084-1100 (2022)CAD System for Breast US Images with Speckle Noise Reduction and Bio-Inspired Segmentation., , , , , , и . SIBGRAPI, стр. 68-75. IEEE, (2019)Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution., , и . Expert Syst. Appl., (2019)Performance evaluation of automated brain tumor detection systems with expert delineations and interobserver variability analysis in diseased patients on magnetic resonance imaging., , и . Appl. Artif. Intell., 32 (7-8): 670-691 (2018)Automatic detection of tuberculosis related abnormalities in Chest X-ray images using hierarchical feature extraction scheme., , , , и . Expert Syst. Appl., (2020)Majority voting-based hybrid feature selection in machine learning paradigm for epilepsy detection using EEG., , и . Int. J. Comput. Vis. Robotics, 11 (4): 385-400 (2021)Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier., , и . Signal Image Video Process., 17 (6): 2745-2754 (2023)An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification., , и . Biomed. Signal Process. Control., 80 (Part): 104399 (2023)