Calling all challengers! The MICCAI UWF4DR 2024 Sub-track - Ultra-Widefield Fundus Imaging for Diabetic Retinopathy Challenge is now open for registration! The challenge encourages researchers to develop algorithms for different tasks in DR analysis using UWF fundus images regarding UWF fundus images quality assessment, classification of DRD, and the classification of DME. The challenge serves as an important milestone in the analysis of DR using ultra-widefield images. We hope that the challenge will drive innovation in automatic medical image analysis, propelling advancements in the field.

Introduction

Diabetic retinopathy (DR), a common and specific complication of diabetes mellitus, is one of the leading causes of preventable blindness among working-aged people. An estimated 103 million adults worldwide were affected by DR in 2020, and the number of people with DR is projected to rise to 130 million in 2030 and 161 million in 2045.

DR can be classified into five categories: no apparent retinopathy, mild nonproliferative diabetic retinopathy (NPDR), moderate NPDR, severe NPDR, and proliferative diabetic retinopathy (PDR) according to the International Clinical Diabetic Retinopathy (ICDR) Severity Scale. In addition, referable DR (RDR) was defined as moderate NPDR or worse, including diabetic macular edema (DME). Prompt screening, timely referral, and early treatment are widely accepted as consensus for preventing visual loss.

Standard colour fundus photography (CFP) that captures macular and optic nerve with a field view of 30 to 50-degree is the gold standard photograph method for the classification of DR, and deep learning methods for classification of DR using CFP have gradually matured. However, ultra-widefield (UWF) fundus images, which have a wide range up to 200-degree view of the retina, have emerged as an alternative photograph method for DR management, which not only has agreement with the standard 7-field of the Early Treatment Diabetic Retinopathy Study photos but decreases the rate of ungradable images compared to CFP. Furthermore, UWF fundus images allow the identification of predominantly peripheral lesions (PPL), presenting in 30%-40% of eyes with DR and suggesting a more severe DR level in 11% of eyes. However, the classification of UWF fundus images is time-consuming and labor-intensive, requiring significant effort from human graders, and studies of using computer-aided system for effective analysis of UWF fundus images are limited.

Aiming to advance the state-of-the-art in automatic DR analysis from UWF fundus images, we organize the ultra-widefield fundus imaging for diabetic retinopathy challenge. The challenge encourages researchers to develop algorithms for different tasks in DR analysis using UWF fundus images regarding UWF fundus images quality assessment, classification of DRD, and the classification of DME. On the one hand, the images quality assessment task ensures that the images used for classification are of sufficient quality. On the other hand, the classification of DR and DME provide the foundation for automatic analysis that can help the management of DR patients. This challenge serves as an important milestone in the analysis of DR using ultra-widefield images. We hope that the challenge will drive innovation in automatic medical image analysis, propelling advancements in the field.

Challenge description

The challenge UWF4DR is a first edition associated with MICCAI2024. Three tasks are proposed (participants are free to choose one or more tasks):

• Task 1: Image quality assessment for ultra-widefield fundus.
• Task 2: Identification of referable diabetic retinopathy.
• Task 3: Identification of diabetic macular edema.

Important dates

Release of training data: June 1st 2024.

Open for submission on validation set: June 1st 2024.

Submission deadline on validation set: July 15th 2024.

Open for submission on test set: July 15th 2024.

Submission deadline on test set: August 15th 2024.

Submission deadline for method description paper: September 15th 2024.

Winner and invitation speakers: No later than September 30th 2024.

Associated workshop day: October 6th (tentative) at the MICCAI 2024 workshop.

Awards

Certificates will be awarded to the top three teams in each task.

The top ranked teams will be invited to give oral presentations during MICCAI 2024 Workshop.

The first and last authors of the submitted paper from the top ranked teams in each task will have the opportunity to co-author the challenge summary paper.

All teams will have the chance to publish their methodology papers in the MICCAI 2024 Challenge Proceedings.

We welcome everyone to participate! For more information, please visit the challenge website: https://codalab.lisn.upsaclay.fr/competitions/18605#learn_the_details