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Diabetic Foot Ulcer Challenge 2020

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Challenges

DFUC 2020 | DFUC 2021 | DFUC 2022 | DFUC 2024

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2020 Challenge Schedule

  • Training dataset release
  • 27th April 2020
  • Validation dataset release
  • 21st June 2020
  • Test image dataset release
  • 1st July 2020
  • Submission deadline
  • 15th July 2020
  • Winner and invitation speakers
  • 15th August 2020

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DFUC 2020

Analysis Towards Diabetic Foot Ulcer Detection

Download Challenge Document

Grand Challenge Website

Click Here to View Challenge Results

Dataset description and baselines

Click Here to View Challenge Report

This challenge is now closed. Thank you to all who participated.

If you are interested in future research, you can still request the dataset as we will be re-opening the evaluation system on the 15th September 2020.

Please request the dataset by emailing: m.yap@mmu.ac.uk

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DFUC 2020 is hosted by MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention.

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DFUC 2020 Results

Winning Team

Ryo Hachiuma, Hiroki Kajita and Hideo Saito (Keio University and Keio University School of Medicine, Japan)

mAP Ranking

Rank Team Institute
1 Ryo Hachiuma, Hiroki Kajita and Hideo Saito Keio University and Keio University School of Medicine, Japan
2 Fangzhao Li and Changjian Wang National University of Defense Technology, China
3 Azadeh Alavi, Moshe Olshansky and David Ascher Baker Heart and Diabetes Institute, University of Melbourne, Australia
F1-Score Ranking

Rank Team Institute Notes
1 Manu Goyal and Saeed Hassanpour Dartmouth College, USA Highest Precision
1 Ryo Hachiuma, Hiroki Kajita and Hideo Saito Keio University and Keio University School of Medicine, Japan Highest Recall
3 Raphael Brüngel, Johannes Rückert and Christoph M. Friedrich University of Applied Sciences and Arts Dortmund and University Hospital Essen, Germany
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The prize for the winning team of DFUC 2020 is an NVIDIA Titan RTX GPU. MMU would like to thank NVIDIA for their sponsorship of DFUC 2020.

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Organisers

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Moi Hoon Yap

Reader in Computer Vision; Lead, Human-Centred Computing; Manchester Metropolitan University, UK


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Neil Reeves

Faculty Head of Research and Knowledge Exchange (RKE); Professor of Musculoskeletal Biomechanics; Manchester Metropolitan University, UK


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Andrew Boulton

Professor of Medicine; University of Manchester and Manchester Royal Infirmary, UK

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Satyan Rajbhandari

Consultant Physician and Honorary Clinical Professor; Lancashire Teaching Hospitals, UK


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David Armstrong

Professor of Surgery; University of Southern California, USA


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Arun G. Maiya

President, Karnataka Chapter, Indian Podiatry Association; Dean of Manipal College of Health Professions, India; Chief for Centre for Diabetic Foot Care & Research, MAHE, India

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Bijan Najafi

Professor of Surgery and Director of Clinical Research; Baylor College of Medicine, Texas, USA


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Eibe Frank

Professor of Computer Science; University of Waikato, New Zealand


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Justina Wu

Clinical Director at Waikato District Health Board, New Zealand

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Technical Chairs

  • icon user Bill Cassidy, Manchester Metropolitan University
  • icon user David Gillespie, Manchester Metropolitan University
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Clinical Chairs

  • icon user Pappachan Joseph, Lancashire Teaching Hospitals
  • icon user Claire O'Shea, Waikato District Health Board

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Underpinning Research

DFUC 2020 and DFUC 2021 are part of a wider research initiative at Manchester Metropolitan University to create a fully automated DFU detection system that can be used by diabetic patients, their family, or carers. Click the image above for more details.

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Our Partners

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Sponsorship

If you would like to sponsor the challenges, please email Moi Hoon Yap: m.yap@mmu.ac.uk