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Diabetic Foot Ulcers Grand Challenge

4th Challenge, DFUC 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Moi Hoon Yap

    1. Manchester Metropolitan University, Manchester, UK

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  2. Connah Kendrick

    1. Manchester Metropolitan University, Manchester, UK

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  3. Raphael Brüngel

    1. University of Applied Sciences and Arts, Dortmund, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15335)

Included in the following conference series:

Conference proceedings info: DFUC 2024.

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About this book

This book constitutes the 4th Challenge on Diabetic Foot Ulcers, DFUC2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024.
The 8 full papers presented in this book together with 2 invited papers were carefully reviewed and selected from 11 submissions.
The task of DFUC 2024 was on self-supervised learning in ulcer segmentation, for the purpose of supporting research towards more advanced methods to overcome data deficiency and unlabelled data.

Keywords

Table of contents (10 papers)

  1. Front Matter

    Pages i-x
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  2. Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation

    • Connah Kendrick, Bill Cassidy, Joseph M. Pappachan, Claire O’Shea, Cornelious J. Fernandez, Elias Chacko et al.
    Pages 1-14

  3. DFUC 2024 Challenge Papers

    1. Front Matter

      Pages 15-15
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    2. Dinov2_Mask R-CNN: Self-supervised Instance Segmentation of Diabetic Foot Ulcers

      • Yun ji Ban, Seihyoung Lee, Jiwon Park, Jeong Eun Kim, Hyun Seo Kang, Seungwan Han
      Pages 17-28

    3. Diabetic Foot Ulcer Unsupervised Segmentation with Vision Transformers Attention

      • Andrzej Brodzicki, Dariusz Kucharski, Bartłomiej Moniak, Aleksander Kostuch, Filip Noworolnik, W. Anna et al.
      Pages 29-41

    4. Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation

      • Wenhui Zhang, Abhirup Banerjee, Surajit Ray
      Pages 42-54

    5. Multi-stage Segmentation of Diabetic Foot Ulcers Using Self-supervised Learning

      • Neetika Gupta, Ayush Nangia, Naimul Mefraz Khan
      Pages 55-67

  4. Post Challenge Paper

    1. Front Matter

      Pages 69-69
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    2. SSL Based Encoder Pretraining for Segmenting a Heterogeneous Chronic Wound Image Database with Few Annotations

      • Guillaume Picaud, Marc Chaumont, Gérard Subsol, Luc Téot
      Pages 71-80

    3. Multi-scale Attention Network for Diabetic Foot Ulcer Segmentation Using Self-supervised Learning

      • Aravind Shrenivas Murali, Marino Chuquilín, Eung-Joo Lee
      Pages 81-92

    4. A Supervised Segmentation Solution: Diabetic Foot Ulcers Challenge 2024

      • Xue Feng, Gaofeng Huang
      Pages 93-100

    5. CDe: Focus on the Color Differences in Diabetic Foot Images

      • Yifan Wang, Xujie Gao, Haoqian Song, Long Cheng
      Pages 101-108

    6. Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods

      • Raphael Brüngel, Connah Kendrick, Bill Cassidy, Benjamin Bracke, Christoph M. Friedrich, Neil D. Reeves et al.
      Pages 109-124

  5. Back Matter

    Pages 125-125
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Other volumes

  1. Diabetic Foot Ulcers Grand Challenge

Editors and Affiliations

  • Manchester Metropolitan University, Manchester, UK

    Moi Hoon Yap, Connah Kendrick

  • University of Applied Sciences and Arts, Dortmund, Germany

    Raphael Brüngel

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