Detection of microaneurysms in retinal images using an ensemble classifier

Autor: M.M. Habib, R.A. Welikala, A. Hoppe, C.G. Owen, A.R. Rudnicka, S.A. Barman

Publikováno v: Informatics in Medicine Unlocked, Vol 9, Iss C, Pp 44-57 (2017)

This paper introduces, and reports on the performance of, a novel combination of algorithms for automated microaneurysm (MA) detection in retinal images. The presence of MAs in retinal images is a pathognomonic sign of Diabetic Retinopathy (DR) which

Externí odkaz: https://doaj.org/article/35331ab308814b47bcb91dd1e7b888b0

Retinal Vasculometry Associations With Glaucoma: Findings From the European Prospective Investigation of Cancer–Norfolk Eye Study

Autor: Kay-Tee Khaw, Paul J. Foster, Anthony P Khawaja, Alicja R. Rudnicka, Christopher G. Owen, Robert Luben, Shabina Hayat, David P. Strachan, Sarah Barman, Peter H. Whincup, R.A. Welikala, David C Broadway, Michelle P.Y. Chan

Publikováno v: American Journal of Ophthalmology

Purpose To examine retinal vasculometry associations with different glaucomas in older British people. Design Cross-sectional study. Methods A total of 8,623 European Prospective Investigation into Cancer-Norfolk Eye study participants were examined,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa40a2b3de5fa308aa78df2d72c373f5
http://europepmc.org/articles/PMC7706353

The establishment of a multi-source dataset of images on common oral lesions

Autor: Jian Han Lim, Wanninayake Mudiyanselage Tilakaratne, Jyotsna Rimal, Ruwan Duminda Jayasinghe, Chee Sun Liew, Yi-Hsin Yang, Rahmi Amtha, R.A. Welikala, Chee Seng Chan, Ying Zhi Lim, Rosnah Binti Zain, Senthilmani Rajendran, Thomas George Kallarakkal, Alexander Ross Kerr, John Gibson, Karthikeya Patil, Sok Ching Cheong, Kohgulakuhan Yogalingam, Sarah Barman, Paolo Remagnino

Purpose To establish an oral lesion image database that could accelerate the development of artificial intelligence systems for lesion recognition and referral decision. Materials and Methods We describe the establishment of a multi-sourced image dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a61be45d891db251a68f770e04bc1d67
https://doi.org/10.21203/rs.3.rs-496890/v1

Clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer

Autor: Alexander Ross Kerr, Jian Han Lim, Thomas George Kallarakkal, Rahmi Amtha, Sok Ching Cheong, Ruwan Duminda Jayasinghe, Rosnah Binti Zain, Paolo Remagnino, Senthilmani Rajendran, Jyotsna Rimal, Karthikeya Patil, Sarah Barman, R.A. Welikala, Chee Seng Chan, Wanninayake Mudiyanselage Tilakaratne

Publikováno v: Computer Analysis of Images and Patterns ISBN: 9783030891275
CAIP (1)
The 19th International Conference on Computer Analysis of Images and Patterns (CAIP 2021)

Oral cancer disproportionately affects low- and middle-income countries, where a lack of access to appropriate medical care contributes towards late disease presentation. Using artificial intelligence to facilitate the automated identification of hig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ca1a7cd122d83ecc88bf275a926817
https://doi.org/10.1007/978-3-030-89128-2_22

Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort

Autor: Christopher G. Owen, David P. Strachan, R.A. Welikala, Alicja R. Rudnicka, Sarah Barman, Paul J. Foster, Peter H. Whincup

Publikováno v: Computers in Biology and Medicine. 90:23-32

The morphometric characteristics of the retinal vasculature are associated with future risk of many systemic and vascular diseases. However, analysis of data from large population based studies is needed to help resolve uncertainties in some of these

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::573e95eedafb6e75702ad42a178e0fdf
https://doi.org/10.1016/j.compbiomed.2017.09.005