Diabetic retinopathy grading based on Lesion correlation graph

Daming Luo, Sei Ichiro Kamata

研究成果: Conference contribution

抄録

Diabetic Retinopathy (DR) is a leading cause of blindness. It often happens to people who suffer from diabetes and seldom has early warning signs. Automatically DR detection and severity grading are helpful for clinicians by providing a second opinion. An automatic classification system classifies fundus images into 5 degrees of severity. In this paper, we propose a DR grading model based on lesion correlation graph using Graph Convolution Network (GCN) and Convolution Neural Network (CNN). We extract the irregular lesion region by calculating SURF descriptors in the fundus image. We then clusters descriptors into a number of cluster centroids which is regarded as node representation. With the assistance of GCN, we learn lesion correlation. After fusing correlation information and fundus image feature, which is derived from CNN model, we obtain the final classification result. Furthermore, we provide two evaluation measures: accuracy and Cohen's Kappa value for comparison on different experiments. So far, our model achieves good result in several DR datasets. Contribution- We introduce the idea of utilizing correlations among lesions learned by GCN to improve the grading result.

本文言語English
ホスト出版物のタイトル2020 Joint 9th International Conference on Informatics, Electronics and Vision and 2020 4th International Conference on Imaging, Vision and Pattern Recognition, ICIEV and icIVPR 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728193311
DOI
出版ステータスPublished - 2020 8 26
イベントJoint 9th International Conference on Informatics, Electronics and Vision and 4th International Conference on Imaging, Vision and Pattern Recognition, ICIEV and icIVPR 2020 - Kitakyushu, Japan
継続期間: 2020 8 262020 8 29

出版物シリーズ

名前2020 Joint 9th International Conference on Informatics, Electronics and Vision and 2020 4th International Conference on Imaging, Vision and Pattern Recognition, ICIEV and icIVPR 2020

Conference

ConferenceJoint 9th International Conference on Informatics, Electronics and Vision and 4th International Conference on Imaging, Vision and Pattern Recognition, ICIEV and icIVPR 2020
国/地域Japan
CityKitakyushu
Period20/8/2620/8/29

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 電子工学および電気工学
  • 器械工学

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