This paper presents a new algorithm for fuzzy segmentation of MR brain images. Starting from
the standard FCM and its bias-corrected version BCFCM algorithm, by splitting up the two …

Although it is now widely accepted that the rate of phenotypic evolution may not necessarily
be constant across large phylogenies, the frequency and phylogenetic position of periods of …

Background: Remote diagnosis using collaborative tools have led to multilingual joint working
sessions in various domains, including comprehensive health care, and resulting in more …

… Aiming at reducing the execution time, Szilágyi et al. [13], and Chen and Zhang [4] proposed
… Szilágyi, L.: Medical image processing methods for the development of a virtual endoscope. …

Intensity inhomogeneity or intensity non-uniformity (INU) is an undesired phenomenon that
represents the main obstacle for magnetic resonance (MR) image segmentation and …

Medical image segmentation and registration problems based on magnetic resonance
imaging are frequently disturbed by the intensity inhomogeneity or intensity non-uniformity (INU) …

… Szilagyi, S. M. Szilagyi - ECG signal compression with genetic algorithm, 2"d Scientific
Conference … Szilagyi, L. David, Comparison between neuralnetwork-based adaptive filtering and …

Intending to achieve an algorithm characterized by the quick convergence of hard c-means (HCM)
and finer partitions of fuzzy c-means (FCM), suppressed fuzzy c-means (s-FCM) …

Real-time multilingual phrase detection from/during online video presentations—to support
instant remote diagnostics—requires near real-time visual (textual) object detection and …

Many difficult problems, from the philosophy of computation point of view, could require
computing systems that have some kind of intelligence in order to be solved. Recently, we have …