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Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review
المؤلفون المشاركون
Squirrell, David
Chu, Aan
Phillips, Andelka M.
Vaghefi, Ehsan
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-16
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
This systematic review was performed to identify the specifics of an optimal diabetic retinopathy deep learning algorithm, by identifying the best exemplar research studies of the field, whilst highlighting potential barriers to clinical implementation of such an algorithm.
Searching five electronic databases (Embase, MEDLINE, Scopus, PubMed, and the Cochrane Library) returned 747 unique records on 20 December 2019.
Predetermined inclusion and exclusion criteria were applied to the search results, resulting in 15 highest-quality publications.
A manual search through the reference lists of relevant review articles found from the database search was conducted, yielding no additional records.
A validation dataset of the trained deep learning algorithms was used for creating a set of optimal properties for an ideal diabetic retinopathy classification algorithm.
Potential limitations to the clinical implementation of such systems were identified as lack of generalizability, limited screening scope, and data sovereignty issues.
It is concluded that deep learning algorithms in the context of diabetic retinopathy screening have reported impressive results.
Despite this, the potential sources of limitations in such systems must be evaluated carefully.
An ideal deep learning algorithm should be clinic-, clinician-, and camera-agnostic; complying with the local regulation for data sovereignty, storage, privacy, and reporting; whilst requiring minimum human input.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chu, Aan& Squirrell, David& Phillips, Andelka M.& Vaghefi, Ehsan. 2020. Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review. Journal of Ophthalmology،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1189803
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chu, Aan…[et al.]. Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review. Journal of Ophthalmology No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1189803
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chu, Aan& Squirrell, David& Phillips, Andelka M.& Vaghefi, Ehsan. Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review. Journal of Ophthalmology. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1189803
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1189803
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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