Diabetic Foot Ulcer Grand Challenge 2022 Summary

no code implementations • 24 Apr 2023 • Connah Kendrick, Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Vishnu Chandrabalan, Moi Hoon Yap

The Diabetic Foot Ulcer Challenge 2022 focused on the task of diabetic foot ulcer segmentation, based on the work completed in previous DFU challenges.

Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation

1 code implementation • 22 Apr 2022 • Connah Kendrick, Bill Cassidy, Joseph M. Pappachan, Claire O'Shea, Cornelious J. Fernandez, Elias Chacko, Koshy Jacob, Neil D. Reeves, Moi Hoon Yap

This paper demonstrates that image processing using refined contour as ground truth can provide better agreement with machine predicted results.

Management

Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary

no code implementations • 19 Nov 2021 • Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, David G. Armstrong, Moi Hoon Yap

Diabetic foot ulcer classification systems use the presence of wound infection (bacteria present within the wound) and ischaemia (restricted blood supply) as vital clinical indicators for treatment and prediction of wound healing.

Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers

no code implementations • 7 Apr 2021 • Moi Hoon Yap, Bill Cassidy, Joseph M. Pappachan, Claire O'Shea, David Gillespie, Neil Reeves

We describe the data preparation of DFUC2021 for ground truth annotation, data curation and data analysis.

Data Augmentation General Classification +1

Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation

no code implementations • 7 Oct 2020 • Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brungel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Ruckert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank

DFUC2020 provided participants with a comprehensive dataset consisting of 2, 000 images for training and 2, 000 images for testing.

Data Augmentation object-detection +1

DFUC2020: Analysis Towards Diabetic Foot Ulcer Detection

1 code implementation • 24 Apr 2020 • Bill Cassidy, Neil D. Reeves, Pappachan Joseph, David Gillespie, Claire O'Shea, Satyan Rajbhandari, Arun G. Maiya, Eibe Frank, Andrew Boulton, David Armstrong, Bijan Najafi, Justina Wu, Moi Hoon Yap

Every 20 seconds, a limb is amputated somewhere in the world due to diabetes.

Diabetic Foot Ulcer Detection