36 citations · 117 across the 15 of their papers we have counts for
3 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…
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network
Jireh Jam, Connah Kendrick, Vincent Drouard +2
Image inpainting is a key technique in image processing task to predict the missing regions and generate realistic images. Given the advancement of existing generative inpainting m…
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…