Angle-closure assessment in anterior segment OCT images via deep learning

•This work is the first attempt to classify anterior chamber angles into open, appositional- and synechial- angle-closure, by Anterior Segment Optical Coherence Tomography (AS-OCT), rather than the conventional gonioscopic examination.•We introduced a Multi-Sequence Deep Network (MSDN), which learns...

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Veröffentlicht in:	Medical image analysis 2021-04, Vol.69, p.101956-101956, Article 101956
Hauptverfasser:	Hao, Huaying, Zhao, Yitian, Yan, Qifeng, Higashita, Risa, Zhang, Jiong, Zhao, Yifan, Xu, Yanwu, Li, Fei, Zhang, Xiulan, Liu, Jiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Angle-closure Anterior chamber Anterior chamber angle Artificial neural networks AS-OCT Biomarkers Classification Deep learning Entropy Feature extraction Glaucoma Image acquisition Medical imaging Medical treatment Modules Neural networks Optical Coherence Tomography Patients Representations Segments
Online-Zugang:	Volltext
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