Journal ArticleDOI
Segmentation of blood vessels from red-free and fluorescein retinal images
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TLDR
A new approach is proposed that uses measurements of vessel diameters and branching angles as a validation criterion to compare the authors' segmented images with those hand segmented from public databases, and demonstrated that borders found by the method are less biased and follow more consistently the border of the vessel and therefore they yield more confident geometric values.About:
This article is published in Medical Image Analysis.The article was published on 2007-02-01. It has received 437 citations till now.read more
Citations
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Journal ArticleDOI
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features
TL;DR: A neural network scheme for pixel classification and computes a 7-D vector composed of gray-level and moment invariants-based features for pixel representation that is suitable for retinal image computer analyses such as automated screening for early diabetic retinopathy detection.
Journal ArticleDOI
Blood vessel segmentation methodologies in retinal images - A survey
Muhammad Moazam Fraz,Paolo Remagnino,Andreas Hoppe,Bunyarit Uyyanonvara,Alicja R. Rudnicka,Christopher G. Owen,Sarah Barman +6 more
TL;DR: The aim of this paper is to review, analyze and categorize the retinal vessel extraction algorithms, techniques and methodologies, giving a brief description, highlighting the key points and the performance measures.
Journal ArticleDOI
Trainable COSFIRE filters for vessel delineation with application to retinal images
TL;DR: A novel method for the automatic segmentation of vessel trees in retinal fundus images by summing up the responses of the two rotation-invariant B-COSFIRE filters followed by thresholding is introduced.
Journal ArticleDOI
Medical image analysis
Baba C. Vemuri,James S. Duncan +1 more
TL;DR: Medical imaging systems: Physical principles and image reconstruction algorithms for magnetic resonance tomography, ultrasound and computer tomography (CT), and applications: Image enhancement, image registration, functional magnetic resonance imaging (fMRI).
Journal ArticleDOI
Retinal vessel extraction by matched filter with first-order derivative of Gaussian
TL;DR: This paper proposes a novel extension of the MF approach, namely the MF-FDOG, to detect retinal blood vessels, and achieves competitive vessel detection results as compared with those state-of-the-art schemes but with much lower complexity.
References
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Journal ArticleDOI
Statistical methods for assessing agreement between two methods of clinical measurement.
TL;DR: An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability.
Journal ArticleDOI
Medical image analysis: progress over two decades and the challenges ahead
James S. Duncan,Nicholas Ayache +1 more
TL;DR: A look at progress in the field over the last 20 years is looked at and some of the challenges that remain for the years to come are suggested.
Book ChapterDOI
Muliscale Vessel Enhancement Filtering
TL;DR: The multiscale second order local structure of an image (Hessian) is examined with the purpose of developing a vessel enhancement filter and a vesselness measure is obtained.