Investigation of the efficiency of an interconnected convolutional neural network by classifying medical images
Annales mathematicae et informaticae, Volume 53 (2021), pp. 219-234
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Oktavian Lantang; Gyorgy Terdik; Andras Hajdu; Attila Tiba. Investigation of the efficiency of an interconnected convolutional neural network by classifying medical images. Annales mathematicae et informaticae, Volume 53 (2021), pp. 219-234. doi: 10.33039/ami.2021.04.001
@article{AMI_2021_53_a13,
author = {Oktavian Lantang and Gyorgy Terdik and Andras Hajdu and Attila Tiba},
title = {Investigation of the efficiency of an interconnected convolutional neural network by classifying medical images},
journal = {Annales mathematicae et informaticae},
pages = {219--234},
year = {2021},
volume = {53},
doi = {10.33039/ami.2021.04.001},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.33039/ami.2021.04.001/}
}
TY - JOUR AU - Oktavian Lantang AU - Gyorgy Terdik AU - Andras Hajdu AU - Attila Tiba TI - Investigation of the efficiency of an interconnected convolutional neural network by classifying medical images JO - Annales mathematicae et informaticae PY - 2021 SP - 219 EP - 234 VL - 53 UR - http://geodesic.mathdoc.fr/articles/10.33039/ami.2021.04.001/ DO - 10.33039/ami.2021.04.001 LA - en ID - AMI_2021_53_a13 ER -
%0 Journal Article %A Oktavian Lantang %A Gyorgy Terdik %A Andras Hajdu %A Attila Tiba %T Investigation of the efficiency of an interconnected convolutional neural network by classifying medical images %J Annales mathematicae et informaticae %D 2021 %P 219-234 %V 53 %U http://geodesic.mathdoc.fr/articles/10.33039/ami.2021.04.001/ %R 10.33039/ami.2021.04.001 %G en %F AMI_2021_53_a13
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