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Published in 2023 at "Asia-Pacific Journal of Ophthalmology"
DOI: 10.1097/apo.0000000000000599
Abstract: Purpose: To establish a multilabel-based deep learning (DL) algorithm for automatic detection and categorization of clinically significant peripheral retinal lesions using ultrawide-field fundus images. Methods: A total of 5958 ultrawide-field fundus images from 3740 patients…
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Keywords:
retinal lesions;
fundus images;
detection;
field fundus ... See more keywords
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Published in 2018 at "Journal of Ophthalmology"
DOI: 10.1155/2018/1875431
Abstract: The aim of this study is to assess the performance of two machine-learning technologies, namely, deep learning (DL) and support vector machine (SVM) algorithms, for detecting central retinal vein occlusion (CRVO) in ultrawide-field fundus images.…
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Keywords:
crvo;
model;
ultrawide field;
field fundus ... See more keywords