An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis

PURPOSE: To detect visual field (VF) progression by analyzing spatial pattern changes. METHODS: We selected 12,217 eyes from 7360 patients with at least five reliable 24-2 VFs and 5 years of follow-up with an interval of at least 6 months. VFs were decomposed into 16 archetype patterns previously de...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Invest Ophthalmol Vis Sci
Κύριοι συγγραφείς: Wang, Mengyu, Shen, Lucy Q., Pasquale, Louis R., Petrakos, Paul, Formica, Sydney, Boland, Michael V., Wellik, Sarah R., De Moraes, Carlos Gustavo, Myers, Jonathan S., Saeedi, Osamah, Wang, Hui, Baniasadi, Neda, Li, Dian, Tichelaar, Jorryt, Bex, Peter J., Elze, Tobias
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: The Association for Research in Vision and Ophthalmology 2019
Θέματα:
Glaucoma
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6348996/
https://ncbi.nlm.nih.gov/pubmed/30682206
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.18-25568
Ετικέτες: Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!

Παρόμοια τεκμήρια