ConeMapper: Automatic annotation and analysis of foveolar cone photoreceptor topography.

Published: 3 December 2024| Version 1 | DOI: 10.17632/r87cvk4mp8.1
Contributors:
Wolf Harmening, Aleksandr Gutnikov

Description

Data alongside publication

Files

Steps to reproduce

To re-train, test and validate

Institutions

Rheinische Friedrich-Wilhelms-Universitat Bonn, Universitatsklinikum Bonn Augenklinik

Categories

Retina, Photoreceptor, Adaptive Optics, Scanning Laser Ophthalmoscope, Convolutional Neural Network, Fovea centralis

Funding

Deutsche Forschungsgemeinschaft

399370883

Deutsche Forschungsgemeinschaft

430279747

Related Links

Software
https://github.com/ukb-aoslo/ConeMapper
is related to this dataset

Licence