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Diabetic Foot Ulcer Challenge 2020

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2020 Challenge Schedule

  • Training dataset release
  • 27/04/2020
  • Test image dataset release
  • 01/07/2020
  • Submission deadline
  • 15/07/2020
  • Winner and invitation speakers
  • 15/08/2020
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DFUC 2020

Analysis Towards Diabetic Foot Ulcer Detection

Download Challenge Document

Applicants can request this dataset by completing the license agreement, then emailing a formal request to:


Deadline: 15/07/2020

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DFUC 2021

Analysis Towards Classification of Infection & Ischaemia of Diabetic Foot Ulcers

Download Challenge Document

Coming in 2021...

This will be a classification challenge, with a dataset of DFU showing signs of infection, ischemia, or both.

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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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Primary Contact

Moi Hoon Yap

Email: m.yap@mmu.ac.uk

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Underpinning Research

DFUC2020 and DFUC2021 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 logo below for more details:

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Our Partners