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Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions.

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Title: Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions.
Authors: Yang D; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China., Ran AR; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China., Nguyen TX; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China., Lin TPH; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.; Hong Kong Eye Hospital, Hong Kong SAR, China., Chen H; Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China., Lai TYY; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.; 2010 Retina & Macula Centre, Hong Kong SAR, China., Tham CC; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.; Hong Kong Eye Hospital, Hong Kong SAR, China., Cheung CY; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Source: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Jan 16; Vol. 13 (2). Date of Electronic Publication: 2023 Jan 16.
Publication Type: Journal Article; Review
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions.
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  Data: <searchLink fieldCode="AU" term="%22Yang+D%22">Yang D</searchLink>; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Ran+AR%22">Ran AR</searchLink>; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Nguyen+TX%22">Nguyen TX</searchLink>; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Lin+TPH%22">Lin TPH</searchLink>; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.; Hong Kong Eye Hospital, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Chen+H%22">Chen H</searchLink>; Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Lai+TYY%22">Lai TYY</searchLink>; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.; 2010 Retina & Macula Centre, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Tham+CC%22">Tham CC</searchLink>; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.; Hong Kong Eye Hospital, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Cheung+CY%22">Cheung CY</searchLink>; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
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  Data: <searchLink fieldCode="JN" term="%22101658402%22">Diagnostics (Basel, Switzerland)</searchLink> [Diagnostics (Basel)] 2023 Jan 16; Vol. 13 (2). <i>Date of Electronic Publication: </i>2023 Jan 16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101658402 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2075-4418 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220754418%22">20754418 </searchLink><i>NLM ISO Abbreviation: </i>Diagnostics (Basel) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/diagnostics13020326
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            NameFull: Yang D
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              Text: 2023 Jan 16
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              Y: 2023
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