Automated Segmentation of Autofluorescence Lesions in Stargardt Disease

To train a deep learning (DL) algorithm to perform fully automated semantic segmentation of multiple autofluorescence lesion types in Stargardt disease. Cross-sectional study with retrospective imaging data. The study included 193 images from 193 eyes of 97 patients with Stargardt disease. Fundus au...

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Veröffentlicht in:	Ophthalmology retina 2022-11, Vol.6 (11), p.1098-1104
Hauptverfasser:	Zhao, Peter Y., Branham, Kari, Schlegel, Dana, Fahim, Abigail T., Jayasundera, K. Thiran
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autofluorescence Automated segmentation Cross-Sectional Studies Deep learning Humans Machine Learning Optical Imaging Retrospective Studies Stargardt Disease
Online-Zugang:	Volltext
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