A simplified approach using deep neural network for fast and accurate shape from focus.
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| Title: | A simplified approach using deep neural network for fast and accurate shape from focus. |
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| Authors: | Mutahira H; College of Information and Communication, Natural Sciences Campus, Sunkyunkwan University, Suwon, Republic of Korea., Muhammad MS; College of Information and Communication, Natural Sciences Campus, Sunkyunkwan University, Suwon, Republic of Korea., Li M; College of Information and Communication, Natural Sciences Campus, Sunkyunkwan University, Suwon, Republic of Korea., Shin DR; College of Information and Communication, Natural Sciences Campus, Sunkyunkwan University, Suwon, Republic of Korea. |
| Source: | Microscopy research and technique [Microsc Res Tech] 2021 Apr; Vol. 84 (4), pp. 656-667. Date of Electronic Publication: 2020 Oct 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9203012 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0029 (Electronic) Linking ISSN: 1059910X NLM ISO Abbreviation: Microsc Res Tech Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 33078468 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A simplified approach using deep neural network for fast and accurate shape from focus. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mutahira+H%22">Mutahira H</searchLink>; College of Information and Communication, Natural Sciences Campus, Sunkyunkwan University, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Muhammad+MS%22">Muhammad MS</searchLink>; College of Information and Communication, Natural Sciences Campus, Sunkyunkwan University, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Li+M%22">Li M</searchLink>; College of Information and Communication, Natural Sciences Campus, Sunkyunkwan University, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Shin+DR%22">Shin DR</searchLink>; College of Information and Communication, Natural Sciences Campus, Sunkyunkwan University, Suwon, Republic of Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229203012%22">Microscopy research and technique</searchLink> [Microsc Res Tech] 2021 Apr; Vol. 84 (4), pp. 656-667. <i>Date of Electronic Publication: </i>2020 Oct 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Liss%22">Wiley-Liss </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9203012 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1097-0029 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221059910X%22">1059910X </searchLink><i>NLM ISO Abbreviation: </i>Microsc Res Tech <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=33078468 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/jemt.23623 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 656 Titles: – TitleFull: A simplified approach using deep neural network for fast and accurate shape from focus. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mutahira H – PersonEntity: Name: NameFull: Muhammad MS – PersonEntity: Name: NameFull: Li M – PersonEntity: Name: NameFull: Shin DR IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2021 Apr Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1097-0029 Numbering: – Type: volume Value: 84 – Type: issue Value: 4 Titles: – TitleFull: Microscopy research and technique Type: main |
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