Unit-vise: Deep Shallow Unit-Vise Residual Neural Networks with Transition Layer For Expert Level Skin Cancer Classification Razzak, Muhammad Imran and Naz, Saeeda 2021, Unit-vise: Deep Shallow Unit-Vise Residual Neural Networks with Transition Layer For Expert Level Skin Cancer Classification, IEEE/ACM Transactions on Computational Biology and Bioinformatics, pp. 1-10, doi: 10.1109/TCBB.2020.3039358. Title Unit-vise: Deep Shallow Unit-Vise Residual Neural Networks with Transition Layer For Expert Level Skin Cancer Classification Author(s) Razzak, Muhammad Imran orcid.org/0000-0002-3930-6600 Naz, Saeeda Journal name IEEE/ACM Transactions on Computational Biology and Bioinformatics Start page 1 End page 10 Total pages 10 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2021 ISSN 1545-5963 1557-9964 Keyword(s) Skin Cancer Deep Learning Unit-vise Residual Learning Unit-vise Residual Learning Notes In Press Language eng DOI 10.1109/TCBB.2020.3039358 Indigenous content off Field of Research 01 Mathematical Sciences 06 Biological Sciences 08 Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30147630 Document type: Journal Article 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 Wed, 27 Jan 2021, 12:32:00 EST Wed, 27 Jan 2021, 12:34:08 EST Thu, 28 Jan 2021, 04:01:56 EST Thu, 28 Jan 2021, 05:04:35 EST Wed, 24 Feb 2021, 14:15:28 EST Wed, 24 Feb 2021, 14:17:35 EST Wed, 24 Feb 2021, 14:18:15 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 20 Abstract Views  -  Detailed Statistics Created: Wed, 27 Jan 2021, 12:34:08 EST

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