Automatic Detection of Cone Photoreceptors With Fully Convolutional Networks-Reference-Cited by-同舟云学术

Automatic Detection of Cone Photoreceptors With Fully Convolutional Networks

Published:2019-11-12 Issue:6 Volume:8 Page:10
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Hamwood Jared¹,Alonso-Caneiro David¹²,Sampson Danuta M.²³,Collins Michael J.¹,Chen Fred K.²⁴

Affiliation:

1. School of Optometry & Vision Science, Queensland University of Technology, Queensland, Australia

2. Centre for Ophthalmology and Visual Science (incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia

3. Surrey Biophotonics, Centre for Vision, Speech and Signal Processing and School of Biosciences and Medicine, The University of Surrey, Guildford, UK

4. Department of Ophthalmology, Royal Perth Hospital, Perth, Western Australia, Australia

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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