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

Background: To evaluate the performance of a machine-learning (ML) algorithm to detect and classify choroidal neovascularization (CNV), secondary to age-related macular degeneration (AMD) on spectral-domain optical coherence tomography (SD-OCT) images. Methods: Baseline fluorescein angiography (FA)...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:J Pers Med
Egile Nagusiak: Maunz, Andreas, Benmansour, Fethallah, Li, Yvonna, Albrecht, Thomas, Zhang, Yan-Ping, Arcadu, Filippo, Zheng, Yalin, Madhusudhan, Savita, Sahni, Jayashree
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI 2021
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC8227725/
https://ncbi.nlm.nih.gov/pubmed/34201045
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jpm11060524
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