Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography

Yanmiao Bai, Jinkui Hao, Huazhu Fu, Yan Hu, Xinting Ge, Jiang Liu, Yitian Zhao, Jiong Zhang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Ultra-wide-field (UWF) fundus photography is a new imaging technique with providing a broader field of view images, and it has become a popular and effective tool for the screening and diagnosis for many eye diseases, such as diabetic retinopathy (DR). However, it is practically challenging to train a robust deep learning model for DR grading in UWF images, due to the limited scale of data and manual annotations. By contrast, we may find large-scale high-quality regular color fundus photography datasets in the research community, with either image-level or pixel-level annotation. In consequence, we propose an Unsupervised Lesion-aware TRAnsfer learning framework (ULTRA) for DR grading in UWF images, by leveraging a large amount of publicly well-annotated regular color fundus images. Inspired by the clinical identification of DR severity, i.e., the decision making process of ophthalmologists based on the type and number of associated lesions, we design an adversarial lesion map generator to provide the auxiliary lesion information for DR grading. A Lesion External Attention Module (LEAM) is introduced to integrate the lesion feature into the model, allowing a relative explainable DR grading. Extensive experimental results show the proposed method is superior to the state-of-the-art methods.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings
EditorsLinwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages560-570
Number of pages11
ISBN (Print)9783031164330
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 - Singapore, Singapore
Duration: 18 Sept 202222 Sept 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13432 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022
Country/TerritorySingapore
CitySingapore
Period18/09/2222/09/22

Keywords

  • Diabetic retinopathy
  • Unsupervised
  • UWF imaging

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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