384 citations · 1.1k across the 39 of their papers we have counts for
10 papers · 1 filter
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation
Bill Cassidy, Christian McBride, Connah Kendrick +4
The growing rate of chronic wound occurrence, especially in patients with diabetes, has become a concerning trend in recent years. Chronic wounds are difficult and costly to treat,…
An Enhanced Harmonic Densely Connected Hybrid Transformer Network Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space Tensor Merging
Bill Cassidy, Christian Mcbride, Connah Kendrick +11
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming increasi…
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…
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…
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective
David Gillespie, Connah Kendrick, Ian Boon +3
Prostate radiotherapy is a well established curative oncology modality, which in future will use Magnetic Resonance Imaging (MRI)-based radiotherapy for daily adaptive radiotherapy…
Anysize GAN: A solution to the image-warping problem
Connah Kendrick, David Gillespie, Moi Hoon Yap
We propose a new type of General Adversarial Network (GAN) to resolve a common issue with Deep Learning. We develop a novel architecture that can be applied to existing latent vect…
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…
Automatic Lesion Boundary Segmentation in Dermoscopic Images with Ensemble Deep Learning Methods
Manu Goyal, Amanda Oakley, Priyanka Bansal +2
Early detection of skin cancer, particularly melanoma, is crucial to enable advanced treatment. Due to the rapid growth in the numbers of skin cancers, there is a growing need of c…