@inproceedings{ca1c6d5c7f8a424a9c2f0b9cdcb69b47,
title = "Fundus Image Quality-Guided Diabetic Retinopathy Grading",
abstract = "With the increasing use of fundus cameras, we can get a large number of retinal images. However there are quite a number of images in poor quality because of uneven illumination, occlusion and so on. The quality of images significantly affects the performance of automated diabetic retinopathy (DR) screening systems. Unlike the previous methods that did not face the unbalanced distribution, we propose weighted softmax with center loss to solve the unbalanced data distribution in medical images. Furthermore, we propose Fundus Image Quality (FIQ)-guided DR grading method based on multi-task deep learning, which is the first work using fundus image quality to help grade DR. Experimental results on the Kaggle dataset show that fundus image quality greatly impact DR grading. By considering the influence of quality, the experimental results validate the effectiveness of our propose method. All codes and fundus image quality label on Kaggle DR dataset are released in https://github.com/ClancyZhou/kaggle_DR_image_quality_miccai2018_workshop.",
keywords = "DR screening, Deep learning, Fundus image quality classification, Multi-task",
author = "Kang Zhou and Zaiwang Gu and Annan Li and Jun Cheng and Shenghua Gao and Jiang Liu",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018 ; Conference date: 16-09-2018 Through 20-09-2018",
year = "2018",
doi = "10.1007/978-3-030-00949-6_29",
language = "English",
isbn = "9783030009489",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "245--252",
editor = "Zeike Taylor and Hrvoje Bogunovic and David Snead and Garvin, {Mona K.} and Chen, {Xin Jan} and Francesco Ciompi and Yanwu Xu and Lena Maier-Hein and Mitko Veta and Emanuele Trucco and Danail Stoyanov and Nasir Rajpoot and {van der Laak}, Jeroen and Anne Martel and Stephen McKenna",
booktitle = "Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings",
address = "Germany",
}
