Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy

Objective: Vision transformers (ViTs) have shown promising performance in various classification tasks previously dominated by convolutional neural networks (CNNs). However, the performance of ViTs in referable diabetic retinopathy (DR) detection is relatively underexplored. In this study, using ret...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Ophthalmology Science
المؤلفون الرئيسيون:	Jocelyn Hui Lin Goh, BEng, Elroy Ang, BEng, Sahana Srinivasan, BEng, Xiaofeng Lei, MSc, Johnathan Loh, MEng, Ten Cheer Quek, BEng, Cancan Xue, PhD, Xinxing Xu, PhD, Yong Liu, PhD, Ching-Yu Cheng, PhD, Jagath C. Rajapakse, PhD, Yih-Chung Tham, PhD
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2024-11-01
الموضوعات:	Convolutional neural network Referable diabetic retinopathy Retinal photographs Vision transformer
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2666914524000885