Concepedia

AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline

Yukun Zhou, Siegfried K. Wagner, Mark A. Chia, An Zhao, Peter Woodward-Court, Moucheng Xu, Robbert Struyven, Daniel C. Alexander, Pearse A. Keane

Translational Vision Science & Technology · 2022 · 112 citations · 48 references

DOIFull text

Open access

Abstract

By making AutoMorph publicly available and open source, we hope to facilitate ophthalmic and systemic disease research, particularly in the emerging field of oculomics.

References

48

Neural network ensembles

Lars Kai Hansen, Peter Salamon · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1990 · 4.2K citations

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Ridge-Based Vessel Segmentation in Color Images of the Retina

Joes Staal, Michael D. Abràmoff, Meindert Niemeijer et al. · IEEE Transactions on Medical Imaging · 2004 · 4K citations

Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response

A.D. Hoover, Valentina L. Kouznetsova, Michael H. Goldbaum · IEEE Transactions on Medical Imaging · 2000 · 2.5K citations

Key challenges for delivering clinical impact with artificial intelligence

Christopher Kelly, Alan Karthikesalingam, Mustafa Suleyman et al. · BMC Medicine · 2019 · 2.2K citations · Full text

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

Ryan Poplin, Avinash V. Varadarajan, Katy Blumer et al. · Nature Biomedical Engineering · 2018 · 1.7K citations · Full text

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