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Title:

Automated deep learning-based AMD detection and staging in real-world OCT datasets (PINNACLE study report 5).

Document type:
Journal Article; Research Support, Non-U.S. Gov't
Author(s):
Leingang, Oliver; Riedl, Sophie; Mai, Julia; Reiter, Gregor S; Faustmann, Georg; Fuchs, Philipp; Scholl, Hendrik P N; Sivaprasad, Sobha; Rueckert, Daniel; Lotery, Andrew; Schmidt-Erfurth, Ursula; Bogunović, Hrvoje
Abstract:
Real-world retinal optical coherence tomography (OCT) scans are available in abundance in primary and secondary eye care centres. They contain a wealth of information to be analyzed in retrospective studies. The associated electronic health records alone are often not enough to generate a high-quality dataset for clinical, statistical, and machine learning analysis. We have developed a deep learning-based age-related macular degeneration (AMD) stage classifier, to efficiently identify the first...     »
Journal title abbreviation:
Sci Rep
Year:
2023
Journal volume:
13
Journal issue:
1
Fulltext / DOI:
doi:10.1038/s41598-023-46626-7
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37945665
Print-ISSN:
2045-2322
TUM Institution:
Institut für KI und Informatik in der Medizin (Prof. Rückert)
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