A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data - Acta Universitatis Sapientiae

Series Informatica Issues Volume 14, No. 2, 2022 A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data

Volume 14, No. 2, 2022

A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data

M. Pisak-Lukáts, L. Kovács, L. Szilágyi

Acta Univ. Sapientiae Informatica 14, 2 (2022) 316–337

https://doi.org/10.2478/ausi-2022-0018

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Volume 14, No. 2, 2022

Experiments with holographic associative memory, G. Román Computing Laplacian energy, Laplacian-energy-like invariant and Kirchho index of graphs, S. Bhatnagar, Merajuddin, S. Pirzada Computational complexity of network vulnerability analysis, M. Berberler Hourly electricity price forecast for short- and long-term, using deep neural networks, G. Dombi, T. Dulai A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records, Á. Győrfi, , L. Kovács, L. Szilágyi Rendering automatic bokeh recommendation engine for photos using deep learning algorithm, Rakesh KUMAR, Meenu GUPTA, JAISMEEN, Shreya DHANTA, Nishant KUMAR PATHAK, Yukti VIVEK, Ayush SHARMA, DEEPAK, Gaurav RAMOLA, Sudha VELUSAMY Investigating the AlgoRythmics YouTube channel: the Comment Term Frequency Comparison social media analytics method, P. R. Osztián , Z. Kátai, Á. Sántha, E. Osztián Bounds on Nirmala energy of graphs, N. F. Yalcin A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data, M. Pisak-Lukáts, L. Kovács, L. Szilágyi Some new results on colour-induced signed graphs, N. Sudheer, A. C. George, A. Aniyan, S. Naduvath Front pages in PDF, Inside covers in PDF,

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