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Paper Details

Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence.
Commun Biol
7
2021
T, human
Adult, Algorithms, Animals, Artificial Intelligence, Clinical Competence, Deep Learning, Female, Humans, Image Interpretation, Computer-Assisted, Macaca fascicularis, Machine Learning, Male, Middle Aged, Multimodal Imaging, Neural Networks, Computer, Observer Variation, Reproducibility of Results, Retina, Retinal Diseases, Retrospective Studies, Tomography, Optical Coherence
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
Philipp L M??llerMoorfields Eye Hospital NHS Foundation Trust
Philipp L M??llerUniversity of Bonn
Aaron Lee
Aaron LeeeScience Institute, University of Washington
Aaron LeeUniversity of Washington
Adnan TufailMoorfields Eye Hospital NHS Foundation Trust
Konstantinos BalaskasMoorfields Eye Hospital NHS Foundation Trust
Konstantinos Balaskas
Stephanie Niklaus
Pascal Kaiser
Susanne K Suter
Susanne K SuterZurich University of Applied Sciences
Javier Zarranz-VenturaInstitut Clinic d'Oftalmologia, Hospital Clinic de Barcelona
Catherine EganMoorfields Eye Hospital NHS Foundation Trust
Hendrik P N SchollInstitute of Molecular and Clinical Ophthalmology Basel (IOB)
Hendrik P N SchollUniversity of Basel
Tobias Schnitzer
Thomas Singer
Pascal W HaslerUniversity Hospital Basel
Pascal W HaslerUniversity of Basel
Nora DenkUniversity of Basel
Nora Denk
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