An Attention-Based Swin U-Net-Based Segmentation and Hybrid Deep Learning Based Diabetic Retinopathy Classification Framework Using Fundus Images

Material structure-property linkages using three-dimensional convolutional neural networks

Ahmet Cecen, Hanjun Dai, Yuksel C. Yabansu et al. · Acta Materialia · 2017 · 338 citations

Natural Sciences, Materials Engineering, Materials Science +14

Diabetic Retinopathy Detection Using Prognosis of Microaneurysm and Early Diagnosis System for Non-Proliferative Diabetic Retinopathy Based on Deep Learning Algorithms

Lifeng Qiao, Ying Zhu, Hui Zhou · IEEE Access · 2020 · 299 citations · Full text

Computing, Computer Science, Ophthalmology +17

Automated Diabetic Retinopathy Detection Based on Binocular Siamese-Like Convolutional Neural Network

Xianglong Zeng, Haiquan Chen, Yuan Luo et al. · IEEE Access · 2019 · 286 citations · Full text

Computing, Computer Science, Ophthalmology +15

Multiscale AM-FM Methods for Diabetic Retinopathy Lesion Detection

Carla Agurto, Víctor Murray, E Simon Barriga et al. · IEEE Transactions on Medical Imaging · 2010 · 257 citations · Full text

Computing, Biomedical Engineering, Ophthalmology +17

A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability

IEEE Transactions on Medical Imaging · 2020 · 224 citations · Full text

Medicine, Computer Science, Ophthalmology +17