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Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks.

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Title: Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks.
Authors: Hopkinson BM; Department of Marine Sciences, University of Georgia, Athens, Georgia, United States of America., King AC; Institute for Artificial Intelligence, University of Georgia, Athens, Georgia, United States of America., Owen DP; Department of Marine Sciences, University of Georgia, Athens, Georgia, United States of America., Johnson-Roberson M; Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, Michigan, United States of America., Long MH; Marine Chemistry and Geochemistry Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America., Bhandarkar SM; Institute for Artificial Intelligence, University of Georgia, Athens, Georgia, United States of America.; Department of Computer Science, University of Georgia, Athens, Georgia, United States of America.
Source: PloS one [PLoS One] 2020 Mar 24; Vol. 15 (3), pp. e0230671. Date of Electronic Publication: 2020 Mar 24 (Print Publication: 2020).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks.
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  Data: <searchLink fieldCode="AU" term="%22Hopkinson+BM%22">Hopkinson BM</searchLink>; Department of Marine Sciences, University of Georgia, Athens, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22King+AC%22">King AC</searchLink>; Institute for Artificial Intelligence, University of Georgia, Athens, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22Owen+DP%22">Owen DP</searchLink>; Department of Marine Sciences, University of Georgia, Athens, Georgia, United States of America.<br /><searchLink fieldCode="AU" term="%22Johnson-Roberson+M%22">Johnson-Roberson M</searchLink>; Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, Michigan, United States of America.<br /><searchLink fieldCode="AU" term="%22Long+MH%22">Long MH</searchLink>; Marine Chemistry and Geochemistry Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Bhandarkar+SM%22">Bhandarkar SM</searchLink>; Institute for Artificial Intelligence, University of Georgia, Athens, Georgia, United States of America.; Department of Computer Science, University of Georgia, Athens, Georgia, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2020 Mar 24; Vol. 15 (3), pp. e0230671. <i>Date of Electronic Publication: </i>2020 Mar 24 (<i>Print Publication: </i>2020).
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