96 citations · 178 across the 6 of their papers we have counts for
6 papers
A Cloud-based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers
Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan +4
This research proposes a mobile and cloud-based framework for the automatic detection of diabetic foot ulcers and conducts an investigation of its performance. The system uses a cr…
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers
Moi Hoon Yap, Bill Cassidy, Joseph M. Pappachan +3
This paper introduces the Diabetic Foot Ulcers dataset (DFUC2021) for analysis of pathology, focusing on infection and ischaemia. We describe the data preparation of DFUC2021 for g…
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…
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18
There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…
DFUC2020: Analysis Towards Diabetic Foot Ulcer Detection
Bill Cassidy, Neil D. Reeves, Pappachan Joseph +10
Every 20 seconds, a limb is amputated somewhere in the world due to diabetes. This is a global health problem that requires a global solution. The MICCAI challenge discussed in thi…
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…