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Computer Methods in Biomechanics and Biomedical Engineering Volume 15, 2012 - Issue 5
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Original Articles

An efficient algorithm for retinal blood vessel segmentation using h-maxima transform and multilevel thresholding

Marwan D. Saleh Centre for Communication Infrastructure, Faculty of Information Technology, Multimedia University, Jalan Multimedia, 63100, Cyberjaya, Selangor, MalaysiaCorrespondence[email protected]
&
C. Eswaran Centre for Communication Infrastructure, Faculty of Information Technology, Multimedia University, Jalan Multimedia, 63100, Cyberjaya, Selangor, MalaysiaView further author information
Pages 517-525 | Received 10 Sep 2009, Accepted 04 Dec 2010, Published online: 17 Feb 2011

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Buket Toptaş & Davut Hanbay. (2023) Separation of arteries and veins in retinal fundus images with a new CNN architecture. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11:4, pages 1512-1522.
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Noratikah Mazlan & Haniza Yazid. (2019) An improved retinal blood vessel segmentation for diabetic retinopathy detection. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 7:1, pages 49-58.
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Articles from other publishers (19)

Sumit Kumar, Garima Vig, Sapna Varshney & Priti Bansal. 2022. Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention. Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention 380 396 .
Buket TOPTAŞ & Davut HANBAY. (2021) Retina Kan Damarlarını Çıkarmak için Eşikleme Temelli Morfolojik Bir Yöntem. Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi.
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Hind R. Mohammed & Zahir M. Hussain. (2021) Hybrid Mamdani Fuzzy Rules and Convolutional Neural Networks for Analysis and Identification of Animal Images. Computation 9:3, pages 35.
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M. Vijaya Maheswari & G. Murugeswari. (2021) Exploration of Image Processing Techniques and Datasets for Retina Image Analysis. Exploration of Image Processing Techniques and Datasets for Retina Image Analysis.
Salma M. Boubakar Khalifa Albargathe, Ersin Kamberli, Fatma Kandemirli & Javad Rahebi. (2020) Blood vessel segmentation and extraction using H-minima method based on image processing techniques. Multimedia Tools and Applications 80:2, pages 2565-2582.
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F. Orujov, R. Maskeliūnas, R. Damaševičius & W. Wei. (2020) Fuzzy based image edge detection algorithm for blood vessel detection in retinal images. Applied Soft Computing 94, pages 106452.
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Sumit Kumar, Garima Vig, Sapna Varshney & Priti Bansal. (2020) Brain Tumor Detection Based on Multilevel 2D Histogram Image Segmentation Using DEWO Optimization Algorithm. International Journal of E-Health and Medical Communications 11:3, pages 71-85.
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Krishna Gopal Dhal, Arunita Das, Swarnajit Ray, Jorge Gálvez & Sanjoy Das. (2019) Nature-Inspired Optimization Algorithms and Their Application in Multi-Thresholding Image Segmentation. Archives of Computational Methods in Engineering 27:3, pages 855-888.
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Sambit S Mondal, Nirupma Mandal, Akansha Singh & Krishna Kant Singh. (2020) Blood vessel detection from Retinal fundas images using GIFKCN classifier. Procedia Computer Science 167, pages 2060-2069.
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Noratikah Mazlan, Haniza Yazid & Nur Rafidah Sabri. (2018) Enhancement of Retinal Images for Microaneurysms Detection in Diabetic Retinopathy. Enhancement of Retinal Images for Microaneurysms Detection in Diabetic Retinopathy.
Vasyl V. Molebny. 2018. Encyclopedia of Modern Optics. Encyclopedia of Modern Optics 496 537 .
Sven Holm, Greg Russell, Vincent Nourrit & Niall McLoughlin. (2017) DR HAGIS—a fundus image database for the automatic extraction of retinal surface vessels from diabetic patients. Journal of Medical Imaging 4:1, pages 014503.
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Romany F. Mansour. (2017) Evolutionary Computing Enriched Computer-Aided Diagnosis System for Diabetic Retinopathy: A Survey. IEEE Reviews in Biomedical Engineering 10, pages 334-349.
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Javeria Amin, Muhammad Sharif & Mussarat Yasmin. (2016) A Review on Recent Developments for Detection of Diabetic Retinopathy. Scientifica 2016, pages 1-20.
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Akansha Mehrotra, Shraddha Tripathi, Krishna Kant Singh & Priyanka Khandelwal. (2014) Blood Vessel Extraction for retinal images using morphological operator and KCN clustering. Blood Vessel Extraction for retinal images using morphological operator and KCN clustering.
E Ng, U Acharya, Jasjit Suri & Aurelio CampilhoAna Mendon?a, Behdad Dashtbozorg & Aur?lio Campilho. 2014. Image Analysis and Modeling in Ophthalmology. Image Analysis and Modeling in Ophthalmology 85 110 .
José Ignacio Orlando & Matthew Blaschko. 2014. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 634 641 .
Shahriar Badsha, Ahmed Wasif Reza, Kim Geok Tan & Kaharudin Dimyati. (2013) A New Blood Vessel Extraction Technique Using Edge Enhancement and Object Classification. Journal of Digital Imaging 26:6, pages 1107-1115.
Crossref
Marwan D. Saleh & C. Eswaran. (2012) An automated blood vessel extraction algorithm in fundus images. An automated blood vessel extraction algorithm in fundus images.

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