About: Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images

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About: Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images Goto Sponge NotDistinct Permalink

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scientific article published on 02 October 2019

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2019 (fr) artículu científicu espublizáu n'ochobre de 2019 (ast) im Oktober 2019 veröffentlichter wissenschaftlicher Artikel (de) наукова стаття, опублікована 2 жовтня 2019 (uk) scientific article published on 02 October 2019 (en)
publication date	wds:Q92491509-08FFF785-2584-441A-9792-AB352072F165
publication date	2019-10-02 00:00:00Z (xsd:dateTime)
author name string	wds:Q92491509-112853A2-C6BC-4ABB-8C95-832BAA90F493 wds:Q92491509-698A5D1A-EB6F-4B93-9350-EC8B94934C12
author name string	Kazuhiko Koike Tomoki Matsuda
rdfs:label	Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images (en) Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images (nl)
skos:prefLabel	Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images (en) Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images (nl)
name	Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images (en) Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images (nl)
author	wds:Q92491509-0884944F-A79B-4A61-8A14-8D73E5EB3F17 wds:Q92491509-3CABDFEB-C258-43E4-A501-E30471645D28 wds:Q92491509-3DA675D5-D95B-4E08-8720-B4BD5D5FD8E2 wds:Q92491509-482A4559-B83D-4811-B6E4-5DF10CF907CE wds:Q92491509-5996D2C2-5B45-4847-8B0A-D9A0E9D4B11B wds:Q92491509-6099E7A7-B367-46A1-85DD-7B78B13DEC81 wds:Q92491509-892C663F-11F2-4BC5-A053-2AB83FD3EC23 wds:Q92491509-984E163B-B50B-4B48-87DE-DB8F202CC554 wds:Q92491509-98864138-B7BE-495B-883E-DF2EAC5B3972 wds:Q92491509-A8D33DF6-5BC7-4774-A8C0-2E424253D58E wds:Q92491509-E4F12EEA-1B6D-452C-9584-47750A97584B
author	Soichiro Ishihara Shinji Tanaka Shiro Oka Tomohiro Tada Kazuharu Aoyama Hiroaki Saito Fujishiro Mitsuhiro Akiyoshi Tsuboi Tomonori Aoki Masato Nakahori Atsuo Yamada
title	wds:Q92491509-73991AA8-2E9E-42E9-BD02-C8D8205C1102
title	Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images (en)
page(s)	wds:Q92491509-53B09CE8-CE98-4B87-AD30-B930C53433DE
page(s)	382-390
instance of	wds:Q92491509-3B2F5ED6-724A-4E4E-BA6A-D5D030D84226
instance of	scholarly article
main subject	wds:Q92491509-0645252E-E79D-4524-94DC-0231F2139A69 wds:Q92491509-06A49A51-4383-4ACC-86E8-C1625390745A wds:Q92491509-4EA7DF2A-00D2-403E-806D-872D09BB7BAC
main subject	convolutional neural network artificial intelligence capsule endoscopy
PubMed ID	wds:Q92491509-7485D492-AC41-42B6-853B-C4B840BB3861
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/31392767
PubMed ID	31392767
published in	wds:Q92491509-882CBD34-B343-431F-95F8-B09B41D5CB1A
published in	Digestive Endoscopy
issue	wds:Q92491509-AFA8E8D0-8F88-45E5-9B25-7A23A2BD24C1
volume	wds:Q92491509-56B768B2-0093-4F12-8750-921152AFD877
issue	3
volume	32
DOI	wds:Q92491509-A6DF70E3-016F-47E2-8467-FFE3AB2AFC1F
DOI	http://dx.doi.org/10.1111/DEN.13507
DOI	10.1111/DEN.13507
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q92491509
is cites work of	Incorporating standardised reporting guidelines in clinical trials of artificial intelligence in gastrointestinal endoscopy Artificial intelligence in luminal endoscopy A pilot trial of Convolution Neural Network for automatic retention-monitoring of capsule endoscopes in the stomach and duodenal bulb
is cites work of	wds:Q99370818-CE1683E7-B085-475C-B886-3690510521C5 wds:Q97426395-990857C2-52FD-4E6B-8E94-4E82C2459850 wds:Q90091479-9AE55A40-60F2-4A50-8F01-64314068F707

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