Automatic multiscale vascular image segmentation algorithm for coronary angiography
Authors:
- Adrian CarballalAdrian Carballal
- Francisco J. NovoaFNFrancisco J. Novoa
- Carlos Fernandez-LozanoCarlos Fernandez-Lozano
- Marcos García-GuimaraesMGMarcos García-Guimaraes
- Guillermo Aldama-LópezGAGuillermo Aldama-López
- Ramón Calviño-SantosRCRamón Calviño-Santos
- José Manuel Vazquez-RodriguezJVJosé Manuel Vazquez-Rodriguez
- Alejandro PazosAPAlejandro Pazos
- 1 September 2018
- journal article
- research article
- Published by Elsevier in Biomedical Signal Processing and Control
- Vol. 46, 1-9
Abstract
No abstract availableKeywords
Funding Information
- General Directorate of Culture, Education and University Management of Xunta de Galicia
- Ministry of Economy and Competitiveness of Spain
- Juan de la Cierva fellowship program by the Spanish Ministry of Economy and Competitiveness
This publication has 19 references indexed in Scilit:
- 3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical ImagesIEEE Transactions on Medical Imaging, 2013
- Extraction of Quantitative Anatomical Information from Coronary AngiographiesCurrent Bioinformatics, 2011
- Random Walks for Image SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
- A review of vessel extraction techniques and algorithmsACM Computing Surveys, 2004
- Multiscale detection of curvilinear structures in 2-D and 3-D image data2002
- A multiscale gradient algorithm for image segmentation using watersheldsPattern Recognition, 1997
- Hopfield network applied to blood vessel detection in angiograms.Medical & Biological Engineering & Computing, 1997
- Back-propagation network and its configuration for blood vessel detection in angiogramsIEEE Transactions on Neural Networks, 1995
- A Computational Approach to Edge DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 1986
- A note on two problems in connexion with graphsNumerische Mathematik, 1959