DFU Challenge

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

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

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

https://www.miccai2020.org/en/

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

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.

Organisers

Moi Hoon Yap

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

Neil Reeves

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

Andrew Boulton

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

Satyan Rajbhandari

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

David Armstrong

Professor of Surgery; University of Southern California, USA

Arun G. Maiya

President; Karnataka Chapter, Indian Podiatry Association, India

Bijan Najafi

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

Eibe Frank

Professor of Computer Science; University of Waikato, New Zealand

Justina Wu

Clinical Director at Waikato District Health Board, New Zealand

Technical Chairs

Bill Cassidy, Manchester Metropolitan University
David Gillespie, Manchester Metropolitan University

Clinical Chairs

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

Underpinning Research

The MICCAI DFU Challenges 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.