A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer Ghosh, P, Azam, S, Hasib, KM, Karim, A, Jonkman, M and Anwar, Adnan 2021, A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer, in IJCNN 2021 : Proceedings of the International Joint Conference on Neural Networks, IEEE, Piscataway, N.J., pp. 1-8, doi: 10.1109/IJCNN52387.2021.9534293. Attached Files Name Description MIMEType Size Downloads Title A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer Author(s) Ghosh, P Azam, S Hasib, KM Karim, A Jonkman, M Anwar, Adnan orcid.org/0000-0003-3916-1381 Conference name Neural Networks. Conference (2021 : Shenzhen, China) Conference location Shenzhen, China Conference dates 2021/07/18 - 2021/07/22 Title of proceedings IJCNN 2021 : Proceedings of the International Joint Conference on Neural Networks Publication date 2021 Start page 1 End page 8 Total pages 8 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) breast cancer deep learning LSTM GRU health informatics machine learning CORE2020 A ISBN 9780738133669 Language eng DOI 10.1109/IJCNN52387.2021.9534293 HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30158032 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 29 Oct 2021, 06:53:38 EST Fri, 29 Oct 2021, 15:36:29 EST Mon, 01 Nov 2021, 12:43:41 EST Mon, 01 Nov 2021, 15:57:59 EST Tue, 02 Nov 2021, 13:04:48 EST Tue, 02 Nov 2021, 15:09:17 EST Mon, 08 Nov 2021, 07:35:28 EST Sat, 15 Jan 2022, 01:31:13 EST Filtered Full Citation counts:   Cited 5 times in TR Web of Science Cited 13 times in Scopus Search Google Scholar Access Statistics: 55 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 01 Nov 2021, 12:43:41 EST