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CAD System for Breast US Images with Speckle Noise Reduction and Bio-Inspired Segmentation.

, , , , , , and . SIBGRAPI, page 68-75. IEEE, (2019)

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Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm., , and . Multim. Tools Appl., 83 (7): 21347-21368 (2024)An enhancement in automatic seed selection in breast cancer ultrasound images using texture features., , and . ICACCI, page 1096-1102. IEEE, (2016)Determining Dominant EEG Channels for Classification of LD and Non-LD Children using Machine Learning Approach., , , , and . ICSCA, page 1-6. ACM, (2024)CAD System for Breast US Images with Speckle Noise Reduction and Bio-Inspired Segmentation., , , , , , and . SIBGRAPI, page 68-75. IEEE, (2019)Ultrasound image segmentation using a novel multi-scale Gaussian kernel fuzzy clustering and multi-scale vector field convolution., , and . 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., , and . Appl. Artif. Intell., 32 (7-8): 670-691 (2018)Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound., , , and . Int. J. Imaging Syst. Technol., 32 (4): 1084-1100 (2022)Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal., , and . Eng. Appl. Artif. Intell., (2024)Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach., , , and . Biomed. Signal Process. Control., 86 (Part A): 104919 (September 2023)An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification., , and . Biomed. Signal Process. Control., 80 (Part): 104399 (2023)