384 citations · 1.1k across the 39 of their papers we have counts for
5 papers · 1 filter
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
Gongping Chen, Yu Dai, Jianxun Zhang +1
Various deep learning methods have been proposed to segment breast lesion from ultrasound images. However, similar intensity distributions, variable tumor morphology and blurred bo…
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…