| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4958197 | Computer Methods and Programs in Biomedicine | 2017 | 39 Pages |
Abstract
Our fully automated bulb detection system reports 92.67% precision against ideal bulb edge locations as marked by the reader in the bulb transition zone.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Nobutaka Ikeda, Nilanjan Dey, Aditya Sharma, Ajay Gupta, Soumyo Bose, Suvojit Acharjee, Shoaib Shafique, Elisa Cuadrado-Godia, Tadashi Araki, Luca Saba, John R. Laird, Andrew Nicolaides, Jasjit S. Suri,