RETRACTED ARTICLE: Robust retinal blood vessel segmentation using convolutional neural network and support vector machine
- 30 October 2019
- journal article
- retracted article
- Published by Springer Science and Business Media LLC in Journal of Ambient Intelligence and Humanized Computing
- Vol. 12 (3), 3559-3569
- https://doi.org/10.1007/s12652-019-01559-w
Abstract
No abstract availableKeywords
This publication has 31 references indexed in Scilit:
- Improvement of retinal blood vessel detection using morphological component analysisComputer Methods and Programs in Biomedicine, 2015
- Hierarchical retinal blood vessel segmentation based on feature and ensemble learningNeurocomputing, 2015
- Trainable COSFIRE filters for vessel delineation with application to retinal imagesMedical Image Analysis, 2015
- Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Sub-Image ClassificationIEEE Journal of Biomedical and Health Informatics, 2014
- An effective retinal blood vessel segmentation method using multi-scale line detectionPattern Recognition, 2013
- Segmentation of retinal blood vessels using the radial projection and semi-supervised approachPattern Recognition, 2011
- Ridge-Based Vessel Segmentation in Color Images of the RetinaIEEE Transactions on Medical Imaging, 2004
- Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vesselsIEEE Transactions on Medical Imaging, 2003
- Mean shift: a robust approach toward feature space analysisIeee Transactions On Pattern Analysis and Machine Intelligence, 2002
- Locating blood vessels in retinal images by piecewise threshold probing of a matched filter responseIEEE Transactions on Medical Imaging, 2000