Automated cone photoreceptor cell identification in confocal adaptive optics scanning laser ophthalmoscope images based on object detection

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

doi:10.1142/s1793545822500018

Journal of Innovative Optical Health Sciences, Volume. 15, Issue 1, 2250001(2022)

Automated cone photoreceptor cell identification in confocal adaptive optics scanning laser ophthalmoscope images based on object detection

[in Chinese]¹, [in Chinese]^1、*, [in Chinese]^1,2, [in Chinese]^1,2,3, [in Chinese]¹, [in Chinese]¹, and [in Chinese]^1,2,3

Author Affiliations

¹Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, P. R. China

²Department of Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230041, P. R. China

³Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, P. R. China

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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Automated cone photoreceptor cell identification in confocal adaptive optics scanning laser ophthalmoscope images based on object detection[J]. Journal of Innovative Optical Health Sciences, 2022, 15(1): 2250001

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Paper Information

Received: Jun. 30, 2021

Accepted: Aug. 30, 2021

Published Online: Mar. 1, 2022

The Author Email: (heyi_job@126.com)

DOI:10.1142/s1793545822500018

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology