12 citations · 21 across the 4 of their papers we have counts for
4 papers
Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification
Imran Chowdhury Dipto, Bill Cassidy, Connah Kendrick +4
This research conducts an investigation on the effect of visually similar images within a publicly available diabetic foot ulcer dataset when training deep learning classification…
Diabetic Foot Ulcer Grand Challenge 2022 Summary
Connah Kendrick, Bill Cassidy, Neil D. Reeves +4
The Diabetic Foot Ulcer Challenge 2022 focused on the task of diabetic foot ulcer segmentation, based on the work completed in previous DFU challenges. The challenge provided 4000…
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…