S
Siriporn Lawanasakol
Publications - 3
Citations - 163
Siriporn Lawanasakol is an academic researcher. The author has contributed to research in topics: Diabetic retinopathy & Population. The author has an hindex of 3, co-authored 3 publications receiving 110 citations.
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Journal ArticleDOI
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.
Paisan Ruamviboonsuk,Jonathan Krause,Peranut Chotcomwongse,Rory Sayres,Rajiv Raman,Kasumi Widner,Bilson J. L. Campana,Sonia Phene,Kornwipa Hemarat,Mongkol Tadarati,Sukhum Silpa-archa,Jirawut Limwattanayingyong,Chetan Rao,Oscar Kuruvilla,Jesse J. Jung,Jeffrey Tan,Surapong Orprayoon,Chawawat Kangwanwongpaisan,Ramase Sukumalpaiboon,Chainarong Luengchaichawang,Jitumporn Fuangkaew,Pipat Kongsap,Lamyong Chualinpha,Sarawuth Saree,Srirut Kawinpanitan,Korntip Mitvongsa,Siriporn Lawanasakol,Chaiyasit Thepchatri,Lalita Wongpichedchai,Greg S. Corrado,Lily Peng,Dale R. Webster +31 more
TL;DR: Across different severity levels of DR for determining referable disease, deep learning significantly reduced the false negative rate at the cost of slightly higher false positive rates (2%).
Journal ArticleDOI
Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Paisan Ruamviboonsuk,Jonathan Krause,Peranut Chotcomwongse,Rory Sayres,Rajiv Raman,Kasumi Widner,Bilson J. L. Campana,Sonia Phene,Kornwipa Hemarat,Mongkol Tadarati,Sukhum Silpa-archa,Jirawut Limwattanayingyong,Chetan Rao,Oscar Kuruvilla,Jesse J. Jung,Jeffrey Tan,Surapong Orprayoon,Chawawat Kangwanwongpaisan,Ramase Sukumalpaiboon,Chainarong Luengchaichawang,Jitumporn Fuangkaew,Pipat Kongsap,Lamyong Chualinpha,Sarawuth Saree,Srirut Kawinpanitan,Korntip Mitvongsa,Siriporn Lawanasakol,Chaiyasit Thepchatri,Lalita Wongpichedchai,Greg S. Corrado,Lily Peng,Dale R. Webster +31 more
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Posted Content
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program
Paisan Raumviboonsuk,Jonathan Krause,Peranut Chotcomwongse,Rory Sayres,Rajiv Raman,Kasumi Widner,Bilson J. L. Campana,Sonia Phene,Kornwipa Hemarat,Mongkol Tadarati,Sukhum Silpa-archa,Jirawut Limwattanayingyong,Chetan Rao,Oscar Kuruvilla,Jesse J. Jung,Jeffrey Tan,Surapong Orprayoon,Chawawat Kangwanwongpaisan,Ramase Sukulmalpaiboon,Chainarong Luengchaichawang,Jitumporn Fuangkaew,Pipat Kongsap,Lamyong Chualinpha,Sarawuth Saree,Srirat Kawinpanitan,Korntip Mitvongsa,Siriporn Lawanasakol,Chaiyasit Thepchatri,Lalita Wongpichedchai,Greg S. Corrado,Lily Peng,Dale R. Webster +31 more
TL;DR: Across different severity levels of DR for determining referable disease, deep learning significantly reduced the false negative rate at the cost of slightly higher false positive rates, suggesting that deep learning algorithms may serve as a valuable tool for DR screening.