1 code implementation • 23 Jun 2023 • Samuel William Pewton, Bill Cassidy, Connah Kendrick, Moi Hoon Yap
This paper provides a new guideline for skin lesions analysis with an emphasis on reproducibility.
no code implementations • 25 Apr 2023 • Imran Chowdhury Dipto, Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Vishnu Chandrabalan, Moi Hoon Yap
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 networks.
no code implementations • 24 Apr 2023 • Connah Kendrick, Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Vishnu Chandrabalan, Moi Hoon Yap
The Diabetic Foot Ulcer Challenge 2022 focused on the task of diabetic foot ulcer segmentation, based on the work completed in previous DFU challenges.
1 code implementation • 22 Apr 2022 • Connah Kendrick, Bill Cassidy, Joseph M. Pappachan, Claire O'Shea, Cornelious J. Fernandez, Elias Chacko, Koshy Jacob, Neil D. Reeves, Moi Hoon Yap
This paper demonstrates that image processing using refined contour as ground truth can provide better agreement with machine predicted results.
no code implementations • 2 Jan 2022 • Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap
The RSTL layer easily adapts dual encoders by increasing the unique semantic information through direct communication.
no code implementations • 1 Jan 2022 • Moi Hoon Yap, Connah Kendrick, Neil D. Reeves, Manu Goyal, Joseph M. Pappachan, Bill Cassidy
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.
no code implementations • 19 Nov 2021 • Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, David G. Armstrong, Moi Hoon Yap
Diabetic foot ulcer classification systems use the presence of wound infection (bacteria present within the wound) and ischaemia (restricted blood supply) as vital clinical indicators for treatment and prediction of wound healing.
no code implementations • 13 May 2021 • Chuin Hong Yap, Moi Hoon Yap, Adrian K. Davison, Connah Kendrick, Jingting Li, SuJing Wang, Ryan Cunningham
Facial expression spotting is the preliminary step for micro- and macro-expression analysis.
no code implementations • 7 May 2021 • Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap
It introduces the use of foreground segmentation masks to preserve the fidelity.
1 code implementation • 16 Nov 2020 • David Gillespie, Connah Kendrick, Ian Boon, Cheng Boon, Tim Rattay, Moi Hoon Yap
Deep learning has been identified as a potential new technology for the delivery of precision radiotherapy in prostate cancer, where accurate prostate segmentation helps in cancer detection and therapy.
2 code implementations • 11 Aug 2020 • Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
We address the problem by proposing a Wasserstein GAN combined with a new reverse mask operator, namely Reverse Masking Network (R-MNet), a perceptual adversarial network for image inpainting.
no code implementations • 6 Mar 2020 • Connah Kendrick, David Gillespie, Moi Hoon Yap
We develop a novel architecture that can be applied to existing latent vector based GAN structures that allows them to generate on-the-fly images of any size.
no code implementations • 11 Jan 2020 • Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
Additionally, we propose a Wasserstein-Perceptual loss function to preserve colour and maintain realism on a reconstructed image.
no code implementations • 4 Nov 2019 • Chuin Hong Yap, Connah Kendrick, Moi Hoon Yap
We conduct facial expression spotting using this dataset and compare it with the baseline of MEGC III.
no code implementations • 6 Aug 2017 • Omaima FathElrahman Osman, Remah Mutasim Ibrahim Elbashir, Imad Eldain Abbass, Connah Kendrick, Manu Goyal, Moi Hoon Yap
The face was divided into ten predefined regions, where the wrinkles in each region was extracted.