A hybrid DE-RGSO-ELM for brain tumor tissue categorization in 3D magnetic resonance images

DOI10.1155/2014/291581zbMath1407.92072OpenAlexW2134377314WikidataQ59065507 ScholiaQ59065507MaRDI QIDQ1718060

K. Kothavari, S. N. Deepa, B. Arunadevi

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/291581

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Computational methods for problems pertaining to biology (92-08)

Cites Work

• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Introduction to data mining and its applications
• Evolutionary extreme learning machine
• A note on genetic algorithms for large-scale feature selection
• Use of gray value distribution of run lengths for texture analysis
• 10.1162/153244303322753616

This page was built for publication: A hybrid DE-RGSO-ELM for brain tumor tissue categorization in 3D magnetic resonance images