Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification

  • Adrian Galdran*
  • , Gustavo Carneiro
  • , Miguel A.González Ballester
  • *Corresponding author for this work

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

13 Citations (Scopus)

Abstract

This paper compares well-established Convolutional Neural Networks (CNNs) to recently introduced Vision Transformers for the task of Diabetic Foot Ulcer Classification, in the context of the DFUC 2021 Grand-Challenge, in which this work attained the first position. Comprehensive experiments demonstrate that modern CNNs are still capable of outperforming Transformers in a low-data regime, likely owing to their ability for better exploiting spatial correlations. In addition, we empirically demonstrate that the recent Sharpness-Aware Minimization (SAM) optimization algorithm improves considerably the generalization capability of both kinds of models. Our results demonstrate that for this task, the combination of CNNs and the SAM optimization process results in superior performance than any other of the considered approaches.

Original languageEnglish
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
Pages21-29
Number of pages9
ISBN (Print)9783030949068
DOIs
Publication statusPublished - 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: 27 Sept 202127 Sept 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
Period27/09/2127/09/21

Keywords

  • Convolutional Neural Networks
  • Diabetic Foot Ulcer Classification
  • Sharpness-Aware Optimization
  • Vision Transformers

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