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A multimodal technique for an embedded fingerprint recognizer in mobile payment systems., , , и . Mob. Inf. Syst., 5 (2): 105-124 (2009)A User-Friendly Interface for Fingerprint Recognition Systems Based on Natural Language Processing., , , и . CISIS, стр. 736-741. IEEE Computer Society, (2009)MedGA: A novel evolutionary method for image enhancement in medical imaging systems, , , , , , и . Expert Systems with Applications, (2019)Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique., , , , , , , , , и . Advances in Neural Networks, том 54 из Smart Innovation, Systems and Technologies, Springer, (2016)An extended JADE-S based framework for developing secure Multi-Agent Systems., , , и . Comput. Stand. Interfaces, 31 (5): 913-930 (2009)Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering., , , , , , , , , и . Int. J. Imaging Syst. Technol., 25 (3): 213-225 (2015)Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images., , , и . J. Imaging, 9 (2): 32 (2023)A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning., , , , , , , , , и 1 other автор(ы). Comput. Methods Programs Biomed., (2017)MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation., , , , , , и . Symmetry, 12 (5): 773 (2020)NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique., , , , , , и . Int. J. Imaging Syst. Technol., 28 (1): 21-37 (2018)