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Awesome Diabetic-Retinopathy-Detection

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Contents

Datasets

Dataset Time Images Format Camera Resolution FOV Institudes Tasks
Kaggle 2015 88k jpeg / / 50° EyePACS DR grading
Messidor 2014 1200 tiff Topcpn TRC NW6 1440x960,
2240x1488,
2304x1536
45° ADCIS DR & DME grading
IDRiD 2018 516/81 jpg Kowa VX-10α 4288x2848 50° CESIP DR & DME grading / Typical DR lesions & optic disc detection / Optic disc and fovea center location
APTOS 2019 13k png / / / / DR grading
DIARETDB0 2007 130 jpg / 1500x1152 50° / DR lesions finding
DIARETDB1 2007 89 jpg / 1500x1152 50° / DR lesions detection
ROC 2007 100 jpg / 768×576,
1058x1061,
1386×1391
45° / Microaneurysms detection
E-ophtha-EX 2013 82 jpeg / 2533x1696 45° ADCIS Exudates detection
E-ophtha-MA 2013 381 jpeg / 2533x1696 45° ADCIS Microaneurysms detection

Papers

Survey

  • Applications of Deep Learning in Fundus Images: A Review [pdf] [code]

    • Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu. MIA 2021
  • IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge [pdf] [code]

    • Prasanna Porwal, Samiksha Pachade, Manesh Kokare. MIA 2020
  • Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey [pdf]

    • Toufique Ahmed Soomro, Junbin Gao, Tariq Khan. Pattern Anal Applic 2017
  • Computer-aided diagnosis of diabetic retinopathy: A review [pdf]

    • Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Chua Kuang Chua. Computers in Biology and Medicine 2013

DR Grading

  • A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability [pdf] [code]

    • Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao. TMI 2020
  • CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading [pdf] [code]

    • Along He, Tao Li , Ning Li, Kai Wang, and Huazhu Fu. TMI 2020
  • Collaborative learning of semi-supervised segmentation and classification for medical images [pdf]

    • Yi Zhou, Xiaodong He, Lei Huang. CVPR 2019
  • CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading [pdf] [code]

    • Xiaomeng Li, Xiaowei Hu, Lequan Yu. TMI 2019
  • Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection [pdf]

    • Zhe Wang, Yanxin Yin, Jianping Shi. MICCAI 2018
  • A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion [pdf]

    • Zhiwen Lin, Ruoqian Guo, Yanjie Wang. MICCAI 2018
  • Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs [pdf]

    • Varun Gulshan, Lily Peng, Marc Coram. JAMA 2016
  • Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy [pdf]

    • Jonathan Krause, Varun Gulshan, Ehsan Rahimy. Ophthalmology 2018
  • Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy [pdf]

    • Rory Sayres, Ankur Taly, Ehsan Rahimy. Ophthalmology 2018
  • BIRA-NET: BILINEAR ATTENTION NET FOR DIABETIC RETINOPATHY GRADING [pdf]

    • Ziyuan Zhao, Kerui Zhang, Xuejie Hao, Jing Tian. ICIP 2019
  • SUNET: A LESION REGULARIZED MODEL FOR SIMULTANEOUS DIABETIC RETINOPATHY AND DIABETIC MACULAR EDEMA GRADING [pdf]

    • Zhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Jiang Liu. ISBI 2020

Segmentation

  • Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation [pdf]

    • Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, and Xiaochun Cao. TMI 2017
  • Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation [pdf]

    • Shujun Wang1, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu1, Pheng-Ann Heng. MICCAI 2019
  • LESION-AWARE SEGMENTATION NETWORK FOR ATROPHY AND DETACHMENT OF PATHOLOGICAL MYOPIA ON FUNDUS IMAGES [pdf]

    • Yan Guo, Rui Wang, Xia Zhou, Yang Liu, Lilong Wang. ISBI 2020
  • Attention Guided Network for Retinal Image Segmentation [pdf]

    • Zhang, Shihao,Fu, Huazhu,Yan, Yuguang,Zhang, Yubing,Wu, Qingyao,Yang, Ming,Tan, Mingkui,Xu, Yanwu. MICCAI 2019
  • A coarse-to-fine deep learning framework for optic disc segmentationin fundus images [pdf]

    • Wang, Lei,Liu, Han,Lu, Yaling,Chen, Hang,Zhang, Jian,Pu, Jiantao. BSPC
  • DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets [pdf]

    • Shujun Wang,Lequan Yu,Kang Li,Xin Yang,Pheng-Ann Heng. TMI 2019
  • Joint segmentation and classification of retinal arteries/veins from fundus images [pdf]

    • Fantin Girard, Conrad Kavalec, Farida Cheriet. artmed
  • CE-Net: Context Encoder Network for 2D Medical Image Segmentation [pdf]

    • Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao and Jiang Liu. TMI2019
  • Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation [pdf]

    • Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng. TMI 2019

Codes

  • [Team o_O] Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

  • [EyeNet] Identifying diabetic retinopathy using convolutional neural networks

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