A Hybrid System for Automatic Identification of Corneal Layers on In Vivo Confocal Microscopy Images

Author:

Tang Ningning1,Huang Guangyi1,Lei Daizai1,Jiang Li1,Chen Qi1,He Wenjing1,Tang Fen1,Hong Yiyi1,Lv Jian1,Qin Yuanjun1,Lin Yunru1,Lan Qianqian1,Qin Yikun1,Lan Rushi2,Pan Xipeng23,Li Min1,Xu Fan1,Lu Peng1

Affiliation:

1. Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region & Research Center of Ophthalmology, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, China

2. Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, China

3. Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference21 articles.

1. Global data on visual impairment in the year 2002;Resnikoff;Bull World Health Organ,2004

2. Global survey of corneal transplantation and eye banking;Gain;JAMA Ophthalmol,2016

3. In vivo confocal microscopy of the ocular surface;Zhivov;Ocul Surf,2006

4. Corneal transplantation;Tan;Lancet,2012

5. Evaluation of intrastromal injection of voriconazole as a therapeutic adjunctive for the management of deep recalcitrant fungal keratitis;Prakash;Am J Ophthalmol,2008

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