Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study
- DOI
- 10.1016/s2589-7500(23)00050-x
- Published
- 2023-06
- Container
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/s2589-7500-23-00050-x,
title = {Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study},
author = {Siegfried K Wagner and Bart Liefers and Meera Radia and Gongyu Zhang and Robbert Struyven and Livia Faes and Jonathan Than and Shafi Balal and Charlie Hennings and Caroline Kilduff and Pakinee Pooprasert and Sophie Glinton and Meena Arunakirinathan and Periklis Giannakis and Imoro Zeba Braimah and Islam S H Ahmed and Mariam Al-Feky and Hagar Khalid and Daniel Ferraz and Juliana Vieira and Rodrigo Jorge and Shahid Husain and Janette Ravelo and Anne-Marie Hinds and Robert Henderson and Himanshu I Patel and Susan Ostmo and J Peter Campbell and Nikolas Pontikos and Praveen J Patel and Pearse A Keane and Gill Adams and Konstantinos Balaskas},
year = {2023},
journal = {The Lancet Digital Health},
doi = {10.1016/s2589-7500(23)00050-x},
url = {https://doi.org/10.1016/s2589-7500(23)00050-x}
}RIS
TY - JOUR TI - Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study AU - Siegfried K Wagner AU - Bart Liefers AU - Meera Radia AU - Gongyu Zhang AU - Robbert Struyven AU - Livia Faes AU - Jonathan Than AU - Shafi Balal AU - Charlie Hennings AU - Caroline Kilduff AU - Pakinee Pooprasert AU - Sophie Glinton AU - Meena Arunakirinathan AU - Periklis Giannakis AU - Imoro Zeba Braimah AU - Islam S H Ahmed AU - Mariam Al-Feky AU - Hagar Khalid AU - Daniel Ferraz AU - Juliana Vieira AU - Rodrigo Jorge AU - Shahid Husain AU - Janette Ravelo AU - Anne-Marie Hinds AU - Robert Henderson AU - Himanshu I Patel AU - Susan Ostmo AU - J Peter Campbell AU - Nikolas Pontikos AU - Praveen J Patel AU - Pearse A Keane AU - Gill Adams AU - Konstantinos Balaskas PY - 2023 JO - The Lancet Digital Health DO - 10.1016/s2589-7500(23)00050-x UR - https://doi.org/10.1016/s2589-7500(23)00050-x ER -
APA
Wagner, S. K., Liefers, B., Radia, M., Zhang, G., Struyven, R., Faes, L., Than, J., Balal, S., Hennings, C., Kilduff, C., Pooprasert, P., Glinton, S., Arunakirinathan, M., Giannakis, P., Braimah, I. Z., Ahmed, I. S. H., Al-Feky, M., Khalid, H., Ferraz, D., Vieira, J., Jorge, R., Husain, S., Ravelo, J., Hinds, A., Henderson, R., Patel, H. I., Ostmo, S., Campbell, J. P., Pontikos, N., Patel, P. J., Keane, P. A., Adams, G., & Balaskas, K. (2023). Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study. The Lancet Digital Health. https://doi.org/10.1016/s2589-7500(23)00050-x
Source records
- crossref · retrieved 2026-09-26T23:09:05.297Z