Fully convolutional architecture vs sliding-window CNN for corneal endothelium cell segmentation

Fully convolutional architecture vs sliding-window CNN for corneal endothelium cell segmentation

Abstract Background Corneal endothelium (CE) images provide valuable clinical information regarding the health state of the cornea. Computation of the clinical morphometric parameters requires the segmentation of endothelial cell images. Current techniques to image the endothelium in vivo deliver lo...

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Bibliographic Details
Main Authors: Juan P. Vigueras-Guillén, Busra Sari, Stanley F. Goes, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Biomedical Engineering
Subjects:
Convolutional neural networks
U-net
Sliding-window CNN
Fourier analysis
Specular microscopy
Online Access:http://link.springer.com/article/10.1186/s42490-019-0003-2

Internet

http://link.springer.com/article/10.1186/s42490-019-0003-2

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