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Paper Details

Validation of automated artificial intelligence segmentation of optical coherence tomography images.
PLoS One
32
2019
human
Algorithms, Artificial Intelligence, Benchmarking, Choroid, Deep Learning, Humans, Image Interpretation, Computer-Assisted, Neural Networks, Computer, Observer Variation, Retina, Sclera, Tomography, Optical Coherence, Vitreous Body
Author NameAffiliation
Peter M MalocaInstitute of Molecular and Clinical Ophthalmology Basel (IOB)
Peter M MalocaUniversity Hospital Basel
Peter M MalocaUniversity of Basel
Peter M MalocaMoorfields Eye Hospital NHS Foundation Trust
Aaron Lee
Aaron LeeeScience Institute, University of Washington
Aaron LeeUniversity of Washington
Emanuel R de CarvalhoMoorfields Eye Hospital NHS Foundation Trust
Mali OkadaRoyal Victorian Eye and Ear Hospital
Katrin FaslerMoorfields Eye Hospital NHS Foundation Trust
Irene Leung
Beat H??rmann
Pascal Kaiser
Susanne K Suter
Pascal W HaslerUniversity Hospital Basel
Pascal W HaslerUniversity of Basel
Javier Zarranz-VenturaInstitut Clinic d'Oftalmologia, Hospital Clinic de Barcelona
Catherine EganMoorfields Eye Hospital NHS Foundation Trust
Tjebo F C HeerenMoorfields Eye Hospital NHS Foundation Trust
Tjebo F C HeerenInstitute of Ophthalmology, University College London
Konstantinos BalaskasMoorfields Eye Hospital NHS Foundation Trust
Konstantinos Balaskas
Adnan TufailMoorfields Eye Hospital NHS Foundation Trust
Hendrik P N SchollInstitute of Molecular and Clinical Ophthalmology Basel (IOB)
Hendrik P N SchollUniversity Hospital Basel
Hendrik P N SchollUniversity of Basel
Hendrik P N SchollWilmer Eye Institute, Johns Hopkins University
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