output
20192025
most citedRecognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques

233 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

3 papers · 1 filter

eess.IV2021★ 36 cited

Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary

Bill Cassidy, Connah Kendrick, Neil D. Reeves +4

Diabetic foot ulcer classification systems use the presence of wound infection (bacteria present within the wound) and ischaemia (restricted blood supply) as vital clinical indicat…

cs.LG2021★ 42 cited

A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers

Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan +4

This research proposes a mobile and cloud-based framework for the automatic detection of diabetic foot ulcers and conducts an investigation of its performance. The system uses a cr…

cs.CV2021★ 96 cited

Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers

Moi Hoon Yap, Bill Cassidy, Joseph M. Pappachan +3

This paper introduces the Diabetic Foot Ulcers dataset (DFUC2021) for analysis of pathology, focusing on infection and ischaemia. We describe the data preparation of DFUC2021 for g…