Detection of optic disc in retinal images by means of a geometrical model of vessel structure
By Marco Foracchia, Enrico Grisan, Alfredo Ruggeri. IEEE Transactions on Medical Imaging, 2004
518 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Ophthalmology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/603237f2c631cba812607b9b9997f84cc3087eed
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Atef Zaki Ghalwash
- A. Youssif
- Amr Ahmed Sabry Abdel-Rahman Ghoneim
- Alfredo Ruggeri
- Marco Foracchia
- Enrico Grisan
- Ana Maria Mendonça
- Ian J. Deary
In Ophthalmology
- Atef Zaki Ghalwash
- A. Youssif
- Amr Ahmed Sabry Abdel-Rahman Ghoneim
- Alfredo Ruggeri
- Marco Foracchia
- Enrico Grisan
- Ian J. Deary
- Tariq Mehmood Aslam
In Radiology, Nuclear Medicine and Imaging
- Atef Zaki Ghalwash
- A. Youssif
- Amr Ahmed Sabry Abdel-Rahman Ghoneim
- Alfredo Ruggeri
- Marco Foracchia
- Enrico Grisan
- Ana Maria Mendonça
- Ian J. Deary
Citations in the corpus
- Luminosity and contrast normalization in retinal images (2005, methodology): “…proposed here mainly originated from our needs of obtaining normalized images, to be processed by automatic techniques in order to extract diagnostic information about vascular (Foracchia et al., 2002; Grisan et al., 2003; Foracchia et al., 2004) and non-vascular lesions (Grisan et al., 2001).”
- Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (2006, background): “Other indirect applications include automatic generation of retinal maps for the treatment of age-related macular degeneration [15], extraction of characteristic points of the retinal vasculature for temporal or multimodal image registration [16]–[18], retinal image mosaic synthesis [19], identifica”
- Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques (2010, unknown): “[15].”
- Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter (2008, methodology): “(b)–(h) Results of the proposed method on the images shown in [21].”
- Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures (2006, unknown): “Many published algorithms for optic disc detection [5]–”
- Retinal image analysis: concepts, applications and potential. (2006, methodology): “Foracchia et al. (2004) recently report on a new technique for locating the optic disc using a geometrical parametric model (retinal vessels originating from the optic disc and their path follows a similar directional pattern (parabolic course) in all images) to describe the typical direction of…”