Automatic Diabetic Retinopathy Grading via Self-Knowledge Distillation

EHANet: An Effective Hierarchical Aggregation Network for Face Parsing

(2020) Ling Luo et al.   Applied Sciences-Basel

Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening

(2019) Tao Li et al.   INFORMATION SCIENCES

Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis

(2019) Lihao Liu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

(2019) Prasanna Porwal et al.   MEDICAL IMAGE ANALYSIS

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

(2019) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral

(2017) Ramon Pires et al.   IEEE Journal of Biomedical and Health Informatics

Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening

(2016) Lama Seoud et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An ensemble-based system for automatic screening of diabetic retinopathy

(2014) Bálint Antal et al.   KNOWLEDGE-BASED SYSTEMS

FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE

(2014) Etienne Decencière et al.   Image Analysis & Stereology

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The worldwide epidemic of diabetic retinopathy

(2012) Nathan Congdon et al.   INDIAN JOURNAL OF OPHTHALMOLOGY

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT