[visionlist] DFUC2020: Call for Participants

Moi Hoon Yap M.Yap at mmu.ac.uk
Tue Apr 28 03:49:42 -04 2020

[Apologies if you receive multiple copies of this call]


Diabetic Foot Ulcer Challenge (DFUC2020): Analysis Towards Diabetic Foot Ulcer Detection
in conjunction with the 23rd International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI2020) – Lima, Peru, 4-8 October 2020.

Every 20 seconds, a limb is amputated somewhere in the world due to diabetes. This is a global health problem that requires a global solution. The MICCAI challenge discussed in this paper, which concerns the detection of diabetic foot ulcers, will accelerate the development of innovative healthcare technology to address this unmet medical need. In an effort to improve patient care and reduce the strain on healthcare systems, recent research has focused on the creation of cloud-based detection algorithms that can be consumed as a service by a mobile app that patients (or a carer, partner or family member) could use themselves to monitor their condition and to detect the appearance of a diabetic foot ulcer (DFU). Collaborative work between Manchester Metropolitan University, Lancashire Teaching Hospital and the Manchester University NHS Foundation Trust has created a repository of 4000 DFU images for the purpose of supporting research toward more advanced methods of DFU detection. Based on a joint effort involving the lead scientists of the UK, US, India and New Zealand, this challenge will solicit original work, and promote interactions between researchers and interdisciplinary collaborations.

For details, visit our website: https://dfu-challenge.github.io
Details of the datasets: https://arxiv.org/abs/2004.11853
Call Document: http://doi.org/10.5281/zenodo.3715015

27 April 2020: Training dataset release
21 June 2020: Validation dataset release
22 June 2020: Submission site open (https://dfu2020.grand-challenge.org)
01 July 2020:  Testing dataset release
15 July 2020: Submission deadline [11:59pm, Pacific Standard Time]
Organizing Chairs
Moi Hoon Yap, Manchester Metropolitan University, UK
Neil Reeves, Manchester Metropolitan University, UK
Andrew Boulton, University of Manchester, UK
Satyan Rajbhandari, Lancashire Teaching Hospitals, UK
David Armstrong, University of Southern California, USA
Arun G. Maiya, Manipal College of Health Professions, India
Bijan Najafi, Baylor College of Medicine, Texas, USA
Eibe Frank, University of Waikato, New Zealand
Justina Wu, Waikato District Health Board, New Zealand

Technical Chairs
Bill Cassidy, Manchester Metropolitan University, UK
David Gillespie, Manchester Metropolitan University, UK

Clinical Chairs
Pappachan Joseph, Lancashire Teaching Hospitals, UK
Claire O’Shea, Waikato District Health Board, New Zealand.

For further enquiries, please contact Moi Hoon Yap (m.yap at mmu.ac.uk<mailto:m.yap at mmu.ac.uk>)

Many thanks

Best regards
Moi Hoon

Dr. Moi Hoon Yap
Reader in Computer Vision
Lead, Human-Centred Computing
Manchester Metropolitan University | John Dalton Building (E129) | Chester Street | Manchester | M1 5GD
Telephone: (+44) 0161 247 1503 | Facsimile: (+44) 0161 247 6840
Website: http://www2.docm.mmu.ac.uk/STAFF/M.Yap/

We welcome your participation:
The Third Facial Micro-expressions Grand Challenge: http://megc2020.psych.ac.cn:81/
GCRF Breast Cancer Awareness Workshops: https://breast-project.github.io<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbreast-project.github.io%2F&data=01%7C01%7CRedfernJM%40cardiff.ac.uk%7C575d14b4f8e4468c5db208d7b5f0bae0%7Cbdb74b3095684856bdbf06759778fcbc%7C1&sdata=SaHTV6EEpR9IbVz9gVxrc97a1viwA%2FkGFGd4EbNP2yQ%3D&reserved=0>
BMVC2020: https://britishmachinevisionassociation.github.io/bmvc
Diabetic Foot Ulcer Detection Grand Challenge (DFUC2020): https://dfu-challenge.github.io
FBE2020 in conjunction with ICPR: https://micc.unifi.it/FBE2020/

Our research are reproducible, datasets and software are available at:

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