An ensemble deep learning architecture for multilabel classification on TI-RADS Duan, Xueli, Duan, Shaobo, Jiang, Pei, Li, Runzhi, Zhang, Ye, Ma, Jingzhe, Zhao, Hongling and Dai, Honghua 2021, An ensemble deep learning architecture for multilabel classification on TI-RADS, in BIBM 2020 : Preceedings of IEEE International Conference on Bioinformatics and Biomedicine, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 576-582, doi: 10.1109/BIBM49941.2020.9313134. Attached Files Name Description MIMEType Size Downloads Title An ensemble deep learning architecture for multilabel classification on TI-RADS Author(s) Duan, Xueli Duan, Shaobo Jiang, Pei Li, Runzhi Zhang, Ye Ma, Jingzhe Zhao, Hongling Dai, Honghua orcid.org/0000-0001-9899-7029 Conference name BIBM 2020 IEEE Bioinformatics and Biomedicine. International Conference (Virtual Event via Seoul, South Korea)) Conference location Virtual Event via Seoul, South Korea Conference dates 16 - 19 Dec. 2020 Title of proceedings BIBM 2020 : Preceedings of IEEE International Conference on Bioinformatics and Biomedicine Editor(s) Park, Taesung Cho, Young-Rae Hu, Xiaohua Yoo, Illhoi Woo, Hyun Goo Wang, Jianxin Facelli, Julio Nam, Seungyoon Kang, Mingon Publication date 2021 Start page 576 End page 582 Total pages 7 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) thyroid nodule pathological features TI-RADS multi-label classification no CORE2020 ISBN 9781728162157 Language eng DOI 10.1109/BIBM49941.2020.9313134 Indigenous content off HERDC Research category E1 Full written paper - refereed Copyright notice ©2020, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30148521 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     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 02 Mar 2021, 10:54:34 EST Wed, 03 Mar 2021, 04:01:19 EST Wed, 03 Mar 2021, 05:06:05 EST Thu, 04 Mar 2021, 10:38:49 EST Thu, 04 Mar 2021, 10:45:26 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 11 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 02 Mar 2021, 10:54:34 EST

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