Endoscopy report mining for intelligent gastric cancer screening Pan, Jinxin, Ding, Shuai, Yang, Shanlin, Li, Gang and Liu, Xiao 2020, Endoscopy report mining for intelligent gastric cancer screening, Expert systems, vol. 37, no. 3, Special Issue: New data envelopment analysis models for assessing sustainability: Part 1: A dynamic data envelopment analysis approach, pp. 1-14, doi: 10.1111/exsy.12504. Attached Files Name Description MIMEType Size Downloads Title Endoscopy report mining for intelligent gastric cancer screening Author(s) Pan, Jinxin Ding, Shuai Yang, Shanlin Li, Gang orcid.org/0000-0003-1583-641X Liu, Xiao orcid.org/0000-0001-8400-5754 Journal name Expert systems Volume number 37 Issue number 3 Season Special Issue: New data envelopment analysis models for assessing sustainability: Part 1: A dynamic data envelopment analysis approach Article ID e12504 Start page 1 End page 14 Total pages 14 Publisher Wiley Place of publication Chichester, Eng. Publication date 2020-06 ISSN 0266-4720 1468-0394 Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Theory & Methods Computer Science gastric cancer screening hyperparameters multiobjective optimization neural networks NSGA-II GENETIC ALGORITHM APPROACH DECISION-SUPPORT-SYSTEM NEURAL-NETWORK OPTIMIZATION DIAGNOSIS Language eng DOI 10.1111/exsy.12504 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30133216 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 Thu, 19 Dec 2019, 08:20:25 EST Thu, 19 Dec 2019, 08:21:15 EST Fri, 20 Dec 2019, 04:00:11 EST Fri, 20 Dec 2019, 05:03:19 EST Sat, 28 Dec 2019, 01:32:19 EST Fri, 31 Jan 2020, 13:37:16 EST Fri, 31 Jan 2020, 13:40:24 EST Fri, 31 Jan 2020, 13:41:05 EST Tue, 16 Jun 2020, 11:59:59 EST Wed, 16 Sep 2020, 16:14:28 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 105 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 19 Dec 2019, 08:21:15 EST

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