相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A deep learning interpretable classifier for diabetic retinopathy disease grading
Jordi de la Torre et al.
NEUROCOMPUTING (2020)
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
Ramprasaath R. Selvaraju et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
Xiaomeng Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Automated identification and grading system of diabetic retinopathy using deep neural networks
Wei Zhang et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening
Tao Li et al.
INFORMATION SCIENCES (2019)
IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
N. H. Cho et al.
DIABETES RESEARCH AND CLINICAL PRACTICE (2018)
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image
Huazhu Fu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation
Huazhu Fu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images
U. Raghavendra et al.
INFORMATION SCIENCES (2018)
Automated Identification of Diabetic Retinopathy Using Deep Learning
Rishab Gargeya et al.
OPHTHALMOLOGY (2017)
Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral
Ramon Pires et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Mask R-CNN
Kaiming He et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-grained Image Recognition
Jianlong Fu et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images
Mark J. J. P. van Grinsven et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening
Lama Seoud et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks
Chunshui Cao et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE
Etienne Decenciere et al.
IMAGE ANALYSIS & STEREOLOGY (2014)
Current Epidemiology of Diabetic Retinopathy and Diabetic Macular Edema
Jie Ding et al.
CURRENT DIABETES REPORTS (2012)
Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales
CP Wilkinson et al.
OPHTHALMOLOGY (2003)