Automated in vivo and online morphometry of human corneal endothelium

1993 ◽  
Vol 31 (4) ◽  
pp. 432-437 ◽  
Author(s):  
G. Corkidi ◽  
J. Marquez ◽  
R. Usisima ◽  
R. Toledo ◽  
J. Valdez ◽  
...  
2007 ◽  
Vol 91 (2) ◽  
pp. 265-266 ◽  
Author(s):  
G Thuret ◽  
N Deb-Joardar ◽  
C Manissolle ◽  
M. Zhao ◽  
M Peoch ◽  
...  

2011 ◽  
Vol 27 (1) ◽  
pp. 53 ◽  
Author(s):  
Yann Gavet ◽  
Jean-Charles Pinoli

The human corneal endothelium can be observed with two types of microscopes: classical optical microscope for ex-vivo imaging, and specular optical microscope for in-vivo imaging. The quality of the cornea is correlated to the endothelial cell density and morphometry. Automatic methods to analyze the human corneal endothelium images are still not totally efficient. Image analysis methods that focus only on cell contours do not give good results in presence of noise and of bad conditions of acquisition. More elaborated methods introduce regional informations in order to performthe cell contours completion, thus implementing the duality contour-region. Their good performance can be explained by their connections with several basic principles of human visual perception (Gestalt Theory and Marr's computational theory).


2020 ◽  
Vol 197 ◽  
pp. 108125 ◽  
Author(s):  
Qing Lu ◽  
Rong-Mei Peng ◽  
Na Feng ◽  
Ming-Da Wen ◽  
Lin- Hui He ◽  
...  

Cornea ◽  
1997 ◽  
Vol 16 (2) ◽  
pp. 209???214 ◽  
Author(s):  
Mark L. McDermott ◽  
Linda D. Hazlett ◽  
Ron Barrett

1996 ◽  
Author(s):  
Jeffery A. Laird ◽  
Roger W. Beuerman ◽  
Stephen C. Kaufman

2013 ◽  
Vol 54 (12) ◽  
pp. 7258 ◽  
Author(s):  
Emi Inagaki ◽  
Shin Hatou ◽  
Satoru Yoshida ◽  
Hideyuki Miyashita ◽  
Kazuo Tsubota ◽  
...  

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