PixelBNN: Augmenting the PixelCNN with Batch Normalization and the Presentation of a Fast Architecture for Retinal Vessel Segmentation

PixelBNN: Augmenting the PixelCNN with Batch Normalization and the Presentation of a Fast Architecture for Retinal Vessel Segmentation

Analysis of retinal fundus images is essential for eye-care physicians in the diagnosis, care and treatment of patients. Accurate fundus and/or retinal vessel maps give rise to longitudinal studies able to utilize multimedia image registration and disease/condition status measurements, as well as ap...

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Bibliographic Details
Main Authors: Henry A. Leopold, Jeff Orchard, John S. Zelek, Vasudevan Lakshminarayanan
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Journal of Imaging
Subjects:
convolutional networks
deep learning
retinal vessels
image segmentation
ophthalmology
retina
ophthalmic diagnosis
Online Access:https://www.mdpi.com/2313-433X/5/2/26

Internet

https://www.mdpi.com/2313-433X/5/2/26

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