z-logo
open-access-imgOpen Access
Quantitative and qualitative evaluation of deep learning automatic segmentations of corneal endothelial cell images of reduced image quality obtained following cornea transplant
Author(s) -
Naomi Joseph,
Chaitanya Kolluru,
Beth Ann Benetz,
Harry Menegay,
Jonathan H. Lass,
David L. Wilson
Publication year - 2020
Publication title -
journal of medical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 29
eISSN - 2329-4310
pISSN - 2329-4302
DOI - 10.1117/1.jmi.7.1.014503
Subject(s) - medicine , segmentation , artificial intelligence , automation , corneal transplantation , computer vision , automated method , transplantation , cornea , jaccard index , image segmentation , ophthalmology , computer science , biomedical engineering , pattern recognition (psychology) , surgery , mechanical engineering , engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom