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» Detection of Fundus Lesions Using Classifier Selection
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MVA
2007
162views Computer Vision» more  MVA 2007»
13 years 6 months ago
Detection of Fundus Lesions Using Classifier Selection
A system for detecting fundus lesions caused by diabetic retinopathy from fundus images is being developed. The system can screen the images in advance in order to reduce the insp...
Hiroto Nagayoshi, Yoshitaka Hiramatsu, Hiroshi Sak...
CVPR
2009
IEEE
14 years 12 months ago
Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images
Automated detection of lesions in retinal images can assist in early diagnosis and screening of a common disease: Diabetic Retinopathy. A robust and computationally efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...
CAIP
2011
Springer
253views Image Analysis» more  CAIP 2011»
12 years 4 months ago
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters
Abstract. The detection of vascular bifurcations in retinal fundus images is important for finding signs of various cardiovascular diseases. We propose a novel method to detect su...
George Azzopardi, Nicolai Petkov
ICIP
2006
IEEE
14 years 6 months ago
Max-Min Central Vein Detection in Retinal Fundus Images
This paper describes a new framework for the automated tracking of the central retinal vein in retinal images. The procedure first computes a binary image of the retinal vasculatur...
Hind Azegrouz, Emanuele Trucco
ISBI
2004
IEEE
14 years 5 months ago
Qualitative Asymmetry Measure for Melanoma Detection
Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry. ...
Michele d'Amico, Massimo Ferri, Ignazio Stanganell...