Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Pappachan, Joseph"'
Autor:
Cassidy, Bill, Mcbride, Christian, Kendrick, Connah, Reeves, Neil D., Pappachan, Joseph M., Fernandez, Cornelius J., Chacko, Elias, Brüngel, Raphael, Friedrich, Christoph M., Alotaibi, Metib, AlWabel, Abdullah Abdulaziz, Alderwish, Mohammad, Lai, Kuan-Ying, Yap, Moi Hoon
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming increasingly common globally. These conditions can result in highly debilitati
Externí odkaz:
http://arxiv.org/abs/2410.03359
Autor:
Dipto, Imran Chowdhury, Cassidy, Bill, Kendrick, Connah, Reeves, Neil D., Pappachan, Joseph M., Chandrabalan, Vishnu, Yap, Moi Hoon
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. The presence of binary-identical duplicate images in dataset
Externí odkaz:
http://arxiv.org/abs/2304.12987
Autor:
Kendrick, Connah, Cassidy, Bill, Reeves, Neil D., Pappachan, Joseph M., O'Shea, Claire, Chandrabalan, Vishnu, Yap, Moi Hoon
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 images of full-view foot ulcer images together with corresponding deli
Externí odkaz:
http://arxiv.org/abs/2304.12001
Autor:
Kendrick, Connah, Cassidy, Bill, Pappachan, Joseph M., O'Shea, Claire, Fernandez, Cornelious J., Chacko, Elias, Jacob, Koshy, Reeves, Neil D., Yap, Moi Hoon
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 provide ground truth annotations. In this paper, we propose a new diabetic
Externí odkaz:
http://arxiv.org/abs/2204.11618
Autor:
Yap, Moi Hoon, Kendrick, Connah, Reeves, Neil D., Goyal, Manu, Pappachan, Joseph M., Cassidy, Bill
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 conduct a survey on data capturing methods for foot photographs, an ove
Externí odkaz:
http://arxiv.org/abs/2201.00163
Autor:
Cassidy, Bill, Kendrick, Connah, Reeves, Neil D., Pappachan, Joseph M., O'Shea, Claire, Armstrong, David G., Yap, Moi Hoon
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. Studies investigati
Externí odkaz:
http://arxiv.org/abs/2111.10376
Autor:
Yap, Moi Hoon, Cassidy, Bill, Byra, Michal, Liao, Ting-yu, Yi, Huahui, Galdran, Adrian, Chen, Yung-Han, Brüngel, Raphael, Koitka, Sven, Friedrich, Christoph M., Lo, Yu-wen, Yang, Ching-hui, Li, Kang, Lao, Qicheng, Ballester, Miguel A. González, Carneiro, Gustavo, Ju, Yi-Jen, Huang, Juinn-Dar, Pappachan, Joseph M., Reeves, Neil D., Chandrabalan, Vishnu, Dancey, Darren, Kendrick, Connah
Publikováno v:
In Medical Image Analysis May 2024 94
Autor:
Cassidy, Bill, Reeves, Neil D., Pappachan, Joseph M., Ahmad, Naseer, Haycocks, Samantha, Gillespie, David, Yap, Moi Hoon
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 cross-platform mobile framework which enables the deployment of mobile a
Externí odkaz:
http://arxiv.org/abs/2105.07763
Autor:
Yap, Moi Hoon, Cassidy, Bill, Pappachan, Joseph M., O'Shea, Claire, Gillespie, David, Reeves, Neil
Publikováno v:
Conference: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
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 ground truth annotation, data curation and data analysis. The final rel
Externí odkaz:
http://arxiv.org/abs/2104.03068