| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6890796 | Computer Methods and Programs in Biomedicine | 2018 | 14 Pages |
Abstract
The smartphone code of the ONH detection algorithm was applied to the STARE and DRIVE databases resulting in about 96% and 100% detection rates, respectively, with an average execution time of about 2â¯s and 1.3â¯s. In addition, two other databases captured by the d-Eye and iExaminer snap-on lenses for smartphones were considered resulting in about 93% and 91% detection rates, respectively, with an average execution time of about 2.7â¯s and 2.2â¯s, respectively.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Yaroub Elloumi, Mohamed Akil, Nasser Kehtarnavaz,