DeepRetina: Layer Segmentation of Retina in OCT Images Using Deep Learning

To automate the segmentation of retinal layers, we propose DeepRetina, a method based on deep neural networks. DeepRetina uses the improved Xception65 to extract and learn the characteristics of retinal layers. The Xception65-extracted feature maps are inputted to an atrous spatial pyramid pooling m...

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Veröffentlicht in:	Translational vision science & technology 2020-12, Vol.9 (2), p.61-61
Hauptverfasser:	Li, Qiaoliang, Li, Shiyu, He, Zhuoying, Guan, Huimin, Chen, Runmin, Xu, Ying, Wang, Tao, Qi, Suwen, Mei, Jun, Wang, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep Learning Humans Retina - diagnostic imaging Retinal Diseases Special Issue Tomography, Optical Coherence
Online-Zugang:	Volltext
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