Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org
"Automatic detection of multiple oriented blood vessels in retinal images"
written by P. C. Siddalingaswamy, K. Gopalakrishna Prabhu,
published by Journal of Biomedical Science and Engineering, Vol.3 No.1, 2010
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Hyperspectral Ophthalmoscope Images for the Diagnosis of Diabetic Retinopathy Stage
2020
[2] Detection of Optic Disk in Fundus Image using Supervised Learning: Survey
2019
[3] Novel Technique Based on Pixel Level Snakes for Automated Retinal Vessel Segmentation and Vascular Feature Analysis for Detecting Retinal Abnormalities
2019
[4] Blood vessels quantification to detect glaucoma using retinal fundus images
2019
[5] Una propuesta para medir la similaridad entre imágenes segmentadas de la red vascular de la retina
2019
[6] A proposal to measure the similarity between retinal vessel segmentations images
Nova Scientia, 2019
[7] Improvement In Kirsch's Template Algorithm By Introducing Adaptive Histogram Equalisation And Image Matting Structure Element Algorithm To Create Trimap?of Blood Vessels For Diabetic Retinopathy Diagnostic
INTERNATIONAL JOURNAL OF RECENT TECHNOLOGY SCIENCE & MANAGEMENT, 2018
[8] ESTIMATING OF COAL SAVING IN THERMAL POWER PLANT BY USING SOLAR ENERGY
INTERNATIONAL JOURNAL OF RECENT TECHNOLOGY SCIENCE & MANAGEMENT, 2018
[9] A Methodology to Segment Retinal Vessels Using Region-Based Features
Information and Communication Technology for Sustainable Development, 2018
[10] Retinal Vessels Segmentation Techniques and Algorithms: A Survey
Applied Sciences, 2018
[11] The procedure for isolation of neoplasms on the retina of the eye
Journal of Physics: Conference Series, 2018
[12] Diabetic retinopathy detection based on region growing and bat algorithm
2017
[13] Automatic parameters selection of Gabor filters with the imperialism competitive algorithm with application to retinal vessel segmentation
Biocybernetics and Biomedical Engineering, 2017
[14] Diabetic retinopathy detection based on region growing and bat
Arvand Journal of Health & Medical …, 2017
[15] Detection of Retinal Blood Vessels by using Gabor filter with Entropic threshold
Majmaah Journal of Health Sciences, 2016
[16] Segmentation scheme for a content-based retinal image retrieval system using electromagnetism like optimisation algorithm
International Journal of Image Mining, 2016
[17] Aid to the medical diagnosis by retinal analysis
2016
[18] Алгоритмы сегментации кровеносных сосудов сетчатки глаза
2016
[19] Registration of retinal images using blood vessel features
2015
[20] Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness
International Journal of Biomedical Imaging, 2015
[21] Image Processing for Detection of Cataract, Retinopathy Of Prematurity and Glaucoma
Thesis, 2015
[22] An Approach to Content Based Retinal Image Retrieval Using Papamarkos Multilevel Thresholding Method
Journal of Medical Imaging and Health Informatics, 2015
[23] A Novel Method for Extraction of Retinal Blood Vessels using Gabor Filter and Generalized Linear Model
Global Journal of Trends in Engineering, 2015
[24] Detection of Diabetic Retinopathy in Fundus Image
2015
[25] Retinal Blood Vessel Segmentation Algorithm for Diabetic Retinopathy using Wavelet: A Survey
2015
[26] Retinal Blood Vessel Segmentation for Diabetic Retinopathy Using Multilayered Thresholding
International Journal of Science and Research, 2015
[27] Vessels enhancement in X-ray angiograms
E-Health and Bioengineering Conference (EHB), 2015, 2015
[28] An Improved Method for Automatic Retinal Blood Vessel Vascular Segmentation Using Gabor Filter
Open Journal of Medical Imaging, 2015
[29] A Robust Algorithm for Retinal Blood Vessel Extraction
2015
[30] Fast detection and segmentation in retinal blood vessels using Gabor filters
Signal Processing and Communications Applications Conference (SIU), 2014 22nd. IEEE, 2014
[31] SEVERITY CLASSIFICATION OF MICROANEURYSMS USING NEURAL NETWORK.
S Balaji - ICTACT Journal on Soft Computing, 2014
[32] Research Perspective Review on Retinal Blood Vessel Detection
International Journal of Engineering, Business and Enterprise Applications (IJEBEA), 2014
[33] Analysis of Retinal Blood Vessels Using Image Processing Techniques
Intelligent Computing Applications (ICICA), 2014 International Conference on. IEEE, 2014
[34] Segmentation of retinal blood vessels using normalized Gabor filters and automatic thresholding
South African Computer Journal, 2014
[35] РОль чИСлЕННОгО ЭКСпЕРИМЕНтА В ИССлЕДОВАНИИ пАтАлОгИЙ СЕРДЕчНО-СОСуДИСтОЙ СИСтЕМы
2013
[36] Electrical and Electronic Engineering. Department Eastern Mediterranean University, Gazimagusa, Mersin 10, Turkey
High Capacity Optical Networks and Enabling Technologies (HONET-CNS), 2013 10th International Conference on. IEEE, 2013
[37] Efficient registration of limited field of view ocular fundus imagery
2013
[38] Analysis of Human Retinal Vasculature for Content Based Image Retrieval Applications
Swarm, Evolutionary, and Memetic Computing. Springer International Publishing, 2013
[39] Review on: Identification of all True Vessels from Retinal Images
KV Patil, PR Thorat - ijesrt.com, 2013
[40] Analysis of Human Retinal Vasculature for Content Based Image Retrieval Applications.
SEMCCO (2), 2013
[41] استخراج رگ های خونی تصاویر شبکیه با استفاده از تبدیل نسل جدید کرولت و عملگرهای مورفولوژی وزن دار شده وفقی‎
2013
[42] Blood vessels extraction in retinal image using new generation curvelet transform and adaptive weighted morphology operators
Computational Intelligence in Electrical …, 2013
[43] Detection of Retinal Blood Vessels Using Curve let Transform
2012 International Conference on Devices, Circuits and Systems (ICDCS), 2012
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top