A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network.
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%0 Journal Article
%1 journals/bspc/RajeevRGA22
%A Rajeev, S. K.
%A Rajasekaran, M. Pallikonda
%A Govindaraj, Vishnuvarthanan
%A Arunprasath, Thiyagarajan
%D 2022
%J Biomed. Signal Process. Control.
%K dblp
%P 103949
%T A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network.
%U http://dblp.uni-trier.de/db/journals/bspc/bspc78.html#RajeevRGA22
%V 78
@article{journals/bspc/RajeevRGA22,
added-at = {2023-08-28T00:00:00.000+0200},
author = {Rajeev, S. K. and Rajasekaran, M. Pallikonda and Govindaraj, Vishnuvarthanan and Arunprasath, Thiyagarajan},
biburl = {https://www.bibsonomy.org/bibtex/2164a620b0ba247a5fa66c2c12dd7446b/dblp},
ee = {https://www.wikidata.org/entity/Q114952712},
interhash = {52d1104f26f257af92403ffa481324d0},
intrahash = {164a620b0ba247a5fa66c2c12dd7446b},
journal = {Biomed. Signal Process. Control.},
keywords = {dblp},
pages = 103949,
timestamp = {2024-04-09T02:28:50.000+0200},
title = {A biologically-inspired hybrid deep learning approach for brain tumor classification from magnetic resonance imaging using improved gabor wavelet transform and Elmann-BiLSTM network.},
url = {http://dblp.uni-trier.de/db/journals/bspc/bspc78.html#RajeevRGA22},
volume = 78,
year = 2022
}
