Vision Transformer‐based recognition of diabetic retinopathy grade

Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification

(2021) Jyostna Devi Bodapati et al.   Journal of Ambient Intelligence and Humanized Computing

Vision Transformers for Remote Sensing Image Classification

(2021) Yakoub Bazi et al.   Remote Sensing

Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis

(2021) Surya Krishnamurthy et al.   Computational and Mathematical Methods in Medicine

Outcomes of Adversarial Attacks on Deep Learning Models for Ophthalmology Imaging Domains

(2020) Tae Keun Yoo et al.   JAMA Ophthalmology

Diabetic Retinopathy Detection through Novel Tetragonal Local Octa Patterns and Extreme Learning Machines

(2019) Tahira Nazir et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India

(2019) Varun Gulshan et al.   JAMA Ophthalmology

Diabetic retinopathy detection using red lesion localization and convolutional neural networks

(2019) Gabriel Tozatto Zago et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep Visual Attention Prediction

(2018) Wenguan Wang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Scene Classification With Recurrent Attention of VHR Remote Sensing Images

(2018) Qi Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep convolutional neural networks for diabetic retinopathy detection by image classification

(2018) Shaohua Wan et al.   COMPUTERS & ELECTRICAL ENGINEERING

Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma

(2018) Stuart Keel et al.   JAMA Ophthalmology

Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image

(2017) Kele Xu et al.   MOLECULES

Applying artificial intelligence to disease staging: Deep learning for improved staging of diabetic retinopathy

(2017) Hidenori Takahashi et al.   PLoS One

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images

(2016) Mark J. J. P. van Grinsven et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

IDF Diabetes Atlas: Global estimates of the prevalence of diabetes for 2011 and 2030

(2011) David R. Whiting et al.   DIABETES RESEARCH AND CLINICAL PRACTICE