Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography



Maunz, Andreas, Benmansour, Fethallah, Li, Yvonna, Albrecht, Thomas, Zhang, Yan-Ping, Arcadu, Filippo, Zheng, Yalin ORCID: 0000-0002-7873-0922, Madhusudhan, Savita and Sahni, Jayashree
(2021) Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal Neovascularization on Spectral-Domain Optical Coherence Tomography. JOURNAL OF PERSONALIZED MEDICINE, 11 (6).

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Item Type: Article
Uncontrolled Keywords: age-related macular degeneration, choroidal neovascularization, classification, machine learning, optical coherence tomography
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Depositing User: Symplectic Admin
Date Deposited: 02 Aug 2021 07:37
Last Modified: 15 Oct 2021 17:37
DOI: 10.3390/jpm11060524
Open Access URL: https://www.mdpi.com/2075-4426/11/6/524
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3132031