Optical coherence tomography-based deep-learning model for detecting central serous chorioretinopathy

Central serous chorioretinopathy (CSC) is a common condition characterized by serous detachment of the neurosensory retina at the posterior pole. We built a deep learning system model to diagnose CSC, and distinguish chronic from acute CSC using spectral domain optical coherence tomography (SD-OCT)...

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Veröffentlicht in:	Scientific reports 2020-11, Vol.10 (1), p.18852-18852, Article 18852
Hauptverfasser:	Yoon, Jeewoo, Han, Jinyoung, Park, Ji In, Hwang, Joon Seo, Han, Jeong Mo, Sohn, Joonhong, Park, Kyu Hyung, Hwang, Daniel Duck-Jin
Format:	Artikel
Sprache:	eng
Schlagworte:	639/166 692/308 692/699/3161 692/700 Accuracy Adult Algorithms Central Serous Chorioretinopathy - diagnosis Central Serous Chorioretinopathy - diagnostic imaging Central Serous Chorioretinopathy - physiopathology Choroid - diagnostic imaging Choroid - physiopathology Deep Learning Diagnosis Female Humanities and Social Sciences Humans Male Medical personnel Middle Aged multidisciplinary Neural networks Neural Networks, Computer Retina Retina - diagnostic imaging Retina - physiopathology Science Science (multidisciplinary) Tomography Tomography, Optical Coherence
Online-Zugang:	Volltext
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