Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study

Raghavendra, U., Gudigar, A., Rao, T. N., Rajinikanth, V., Ciaccio, E. J., Yeong, C. H., Satapathy, S. C., Molinari, F., & Acharya, U. R. (2021). Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study. International Journal of Imaging Systems and Technology, 32(2), 501–516. Portico. https://doi.org/10.1002/ima.22646
Authors:
U. Raghavendra
Anjan Gudigar
Tejaswi N. Rao
V. Rajinikanth
Edward J. Ciaccio
Chai Hong Yeong
Suresh Chandra Satapathy
Filippo Molinari
U. Rajendra Acharya
Affiliated Authors:
Edward J. Ciaccio
Columbia Affiliation:
Author Keywords:
brain tumor
classification
deep learning
elongated quinary patterns
glioblastoma
texture features
elink
Publication Type:
Article
Unique ID:
10.1002/ima.22646
DOI:
10.1002/ima.22646
Journal:
International Journal of Imaging Systems and Technology
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record

Record Created: