A fully automated cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphology

Author:

Al-Fahdawi Shumoos,Qahwaji Rami,Al-Waisy Alaa S.,Ipson Stanley,Ferdousi Maryam,Malik Rayaz A.ORCID,Brahma Arun

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference41 articles.

1. Comparison of human corneal cell density by age and corneal location: an in vivo confocal microscopy study;Zheng;BMC Ophthalmol.,2016

2. An automatic corneal subbasal nerve registration system using FFT and phase correlation techniques for an accurate DPN diagnosis;Al-Fahdawi,2015

3. An efficient intelligent analysis system for confocal corneal endothelium images;Sharif;Comput. Methods Programs Biomed.,2015

4. Fully automatic evaluation of the corneal endothelium from in vivo confocal microscopy;Selig;BMC Med. Imaging,2015

5. Corneal endothelium cell field analysis by means of interacting bayesian shape models;Foracchia,2007

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