Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary

Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Claire O’Shea, David G. Armstrong, Moi Hoon Yap

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Diabetic foot ulcer classification systems use the presence of wound infection (bacteria present within the wound) and ischaemia (restricted blood supply) as vital clinical indicators for treatment and prediction of wound healing. Studies investigating the use of automated computerised methods of classifying infection and ischaemia within diabetic foot wounds are limited due to a paucity of publicly available datasets and severe data imbalance in those few that exist. The Diabetic Foot Ulcer Challenge 2021 provided participants with a more substantial dataset comprising a total of 15,683 diabetic foot ulcer patches, with 5,955 used for training, 5,734 used for testing and an additional 3,994 unlabelled patches to promote the development of semi-supervised and weakly-supervised deep learning techniques. This paper provides an evaluation of the methods used in the Diabetic Foot Ulcer Challenge 2021, and summarises the results obtained from each network. The best performing network was an ensemble of the results of the top 3 models, with a macro-average F1-score of 0.6307.

Original languageEnglish (US)
Title of host publicationDiabetic Foot Ulcers Grand Challenge - 2nd Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Proceedings
EditorsMoi Hoon Yap, Bill Cassidy, Connah Kendrick
PublisherSpringer Science and Business Media Deutschland GmbH
Pages90-105
Number of pages16
ISBN (Print)9783030949068
DOIs
StatePublished - 2022
Externally publishedYes
Event2nd Diabetic Foot Ulcers Grand Challenge, DFUC 2021 held in conjunction with 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021 - Virtual, Online
Duration: Sep 27 2021Sep 27 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13183 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Diabetic Foot Ulcers Grand Challenge, DFUC 2021 held in conjunction with 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021
CityVirtual, Online
Period9/27/219/27/21

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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