Breast Mass Classification using the Fundamental Deep Learning Approach: To build the optimal model applying various methods that influence the performance of CNN.
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%0 Journal Article
%1 journals/jmmis/LeeCKOYK16
%A Lee, Jin
%A Choi, Kwang Jong
%A Kim, Seong Jung
%A Oh, Ji Eun
%A Yoon, Woong Bae
%A Kim, Kwang Gi
%D 2016
%J J. Multim. Inf. Syst.
%K dblp
%N 3
%P 97-102
%T Breast Mass Classification using the Fundamental Deep Learning Approach: To build the optimal model applying various methods that influence the performance of CNN.
%U http://dblp.uni-trier.de/db/journals/jmmis/jmmis3.html#LeeCKOYK16
%V 3
@article{journals/jmmis/LeeCKOYK16,
added-at = {2021-12-10T00:00:00.000+0100},
author = {Lee, Jin and Choi, Kwang Jong and Kim, Seong Jung and Oh, Ji Eun and Yoon, Woong Bae and Kim, Kwang Gi},
biburl = {https://www.bibsonomy.org/bibtex/2274fc2885a844f5ca1702e4e7c8d74c9/dblp},
ee = {https://doi.org/10.9717/JMIS.2016.3.3.97},
interhash = {b76ee53d03fa49aa83ae82001ec68d5a},
intrahash = {274fc2885a844f5ca1702e4e7c8d74c9},
journal = {J. Multim. Inf. Syst.},
keywords = {dblp},
number = 3,
pages = {97-102},
timestamp = {2024-04-08T17:15:15.000+0200},
title = {Breast Mass Classification using the Fundamental Deep Learning Approach: To build the optimal model applying various methods that influence the performance of CNN.},
url = {http://dblp.uni-trier.de/db/journals/jmmis/jmmis3.html#LeeCKOYK16},
volume = 3,
year = 2016
}
