Researchclopedia
Research
Researchers
Institutions
Topics
Submit
About
Search...
⌘
K
Command Palette
Search for a command to run...
Back to research
Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs
2021
64 citations
Journal Article
bronze Open Access
Field-Weighted Citation Impact:
5.12
Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs | Researchclopedia
·
Agency for Science, Technology and Research
Leonard Milea
·
Agency for Science, Technology and Research
Daniel Shu Wei Ting
·
Agency for Science, Technology and Research
Yong Liu
·
Agency for Science, Technology and Research
Tien Yin Wong
·
Agency for Science, Technology and Research
Nancy J. Newman
·
Agency for Science, Technology and Research
Valérie Biousse
·
Agency for Science, Technology and Research
Dan Miléa
·
Agency for Science, Technology and Research
on behalf of the BONSAI Group
·
Singapore Eye Research Institute
Philippe Gohier
Neil R. Miller
Tanyatuth Padungkiatsagul
Anuchit Poonyathalang
Yanin Suwan
Kavin Vanikieti
Giulia Amore
Piero Barboni
Michele Carbonelli
Valério Carelli
Chiara La Morgia
Martina Romagnoli
Marie‐Bénédicte Rougier
Ambika Selvakumar
Komma Swetha
Pedro Fonseca
Miguel Raimundo
Steffen Hamann
Isabelle Karlesand
Lars Fuhrmann
Sebastian Küchlin
Wolf A. Lagrèze
Nicolae Sanda
Gabriele Thumann
Florent Aptel
Christophe Chiquet
·
Agency for Science, Technology and Research
Kaiqun Liu
Hui Yang
Carmen K. M. Chan
Noel C. Y. Chan
Carol Y. Cheung
Thi Hà Châu Tran
James Acheson
Maged Habib
Neringa Jurkutė
Patrick Yu‐Wai‐Man
Richard C. Kho
Jost B Jonas
John J. Chen
Nouran Sabbagh
Catherine Vignal‐Clermont
Rabih Hage
Raoul Kanav Khanna
Jeong‐Min Hwang
Dong Hyun Kim
Hee Kyung Yang
·
Agency for Science, Technology and Research
Tin Aung
Ching‐Yu Cheng
Ecosse L. Lamoureux
Leopold Schmetterer
Zhubo Jiang
Clare L. Fraser
Luis J. Mejico
Masoud Aghsaei Fard