Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter
By A. Youssif, Atef Zaki Ghalwash, Amr Ahmed Sabry Abdel-Rahman Ghoneim. IEEE Transactions on Medical Imaging, 2008
517 citations recorded by the source corpus.
Subfields: Ophthalmology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/1ae827fe3afdec66cef4716b863112cc5eea884e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ophthalmology
- Manuel Emilio Gegúndez-Arias
- Jordi Pont-Tuset
- Diego Marín
- José Manuel Bravo
- Luc Van Gool
- Pablo Arbeláez
- Kevis-Kokitsi Maninis
- Arturo Aquino
In Radiology, Nuclear Medicine and Imaging
- Manuel Emilio Gegúndez-Arias
- Jordi Pont-Tuset
- Diego Marín
- José Manuel Bravo
- Luc Van Gool
- Pablo Arbeláez
- Kevis-Kokitsi Maninis
- Arturo Aquino
Citations in the corpus
- Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques (2010, methodology): “[16] presented an OD location method based on a vessels’ direction matched filter.”
- Deep Retinal Image Understanding (2016, background): “disc segmentation includes morphological operators [23] and hand crafted features [25] Morales et al.”
- A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features (2011, background): “On the other hand, the vascular tree can also be useful as valuable information to locate other fundus features such as the optic disc [24]–[26] and the fovea [27].”