233 citations · 479 across the 11 of their papers we have counts for
4 papers · 1 filter
Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation
Connah Kendrick, Bill Cassidy, Joseph M. Pappachan +6
Diabetic foot ulcer is a severe condition that requires close monitoring and management. For training machine learning methods to auto-delineate the ulcer, clinical staff must prov…
Development of Diabetic Foot Ulcer Datasets: An Overview
Moi Hoon Yap, Connah Kendrick, Neil D. Reeves +3
This paper provides conceptual foundation and procedures used in the development of diabetic foot ulcer datasets over the past decade, with a timeline to demonstrate progress. We c…
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…
Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques
Manu Goyal, Neil Reeves, Satyan Rajbhandari +3
Recognition and analysis of Diabetic Foot Ulcers (DFU) using computerized methods is an emerging research area with the evolution of image-based machine learning algorithms. Existi…