دورية أكاديمية
Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions
| العنوان: | Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions |
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| المؤلفون: | Yang, Dawei, Ran, An Ran, Nguyen, Truong X., Lin, Timothy P.H., Chen, Hao, Lai, Timothy Y.Y., Tham, Clement C., Cheung, Carol Y. |
| بيانات النشر: | MDPI |
| سنة النشر: | 2023 |
| المجموعة: | The Hong Kong University of Science and Technology: HKUST Institutional Repository |
| مصطلحات موضوعية: | Artificial intelligence, Deep learning, Diabetic macular ischemia, Diabetic retinopathy, Glaucoma, Image quality, Medical image analysis, Optical coherence tomography angiography, Retinal vascular diseases |
| الوصف: | Optical coherence tomography angiography (OCT-A) provides depth-resolved visualization of the retinal microvasculature without intravenous dye injection. It facilitates investigations of various retinal vascular diseases and glaucoma by assessment of qualitative and quantitative microvascular changes in the different retinal layers and radial peripapillary layer non-invasively, individually, and efficiently. Deep learning (DL), a subset of artificial intelligence (AI) based on deep neural networks, has been applied in OCT-A image analysis in recent years and achieved good performance for different tasks, such as image quality control, segmentation, and classification. DL technologies have further facilitated the potential implementation of OCT-A in eye clinics in an automated and efficient manner and enhanced its clinical values for detecting and evaluating various vascular retinopathies. Nevertheless, the deployment of this combination in real-world clinics is still in the “proof-of-concept” stage due to several limitations, such as small training sample size, lack of standardized data preprocessing, insufficient testing in external datasets, and absence of standardized results interpretation. In this review, we introduce the existing applications of DL in OCT-A, summarize the potential challenges of the clinical deployment, and discuss future research directions. © 2023 by the authors. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2075-4418 |
| العلاقة: | https://repository.hkust.edu.hk/ir/Record/1783.1-124394Test; Diagnostics, v. 13, (2), January 2023, article number 326; https://doi.org/10.3390/diagnostics13020326Test; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2075-4418&rft.volume=13&rft.issue=2&rft.date=2023&rft.spage=&rft.aulast=Yang&rft.aufirst=&rft.atitle=Deep+Learning+in+Optical+Coherence+Tomography+Angiography%3A+Current+Progress,+Challenges,+and+Future+Directions&rft.title=DiagnosticsTest; http://www.scopus.com/record/display.url?eid=2-s2.0-85146864908&origin=inwardTest; http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000917070500001Test |
| DOI: | 10.3390/diagnostics13020326 |
| الإتاحة: | https://doi.org/10.3390/diagnostics13020326Test https://repository.hkust.edu.hk/ir/Record/1783.1-124394Test http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2075-4418&rft.volume=13&rft.issue=2&rft.date=2023&rft.spage=&rft.aulast=Yang&rft.aufirst=&rft.atitle=Deep+Learning+in+Optical+Coherence+Tomography+Angiography%3A+Current+Progress,+Challenges,+and+Future+Directions&rft.title=DiagnosticsTest http://www.scopus.com/record/display.url?eid=2-s2.0-85146864908&origin=inwardTest http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000917070500001Test |
| رقم الانضمام: | edsbas.AE5B246D |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20754418 |
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| DOI: | 10.3390/diagnostics13020326 |