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Vessel Extraction in X-Ray Angiograms Using Deep...
Journal article

Vessel Extraction in X-Ray Angiograms Using Deep Learning

Abstract

Coronary artery disease (CAD) is the most common type of heart disease which is the leading cause of death all over the world. X-ray angiography is currently the gold standard imaging technique for CAD diagnosis. These images usually suffer from low quality and presence of noise. Therefore, vessel enhancement and vessel segmentation play important roles in CAD diagnosis. In this paper a deep learning approach using convolutional neural networks …

Authors

Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SMR; Ward K; Jafari MH; Felfeliyan B; Nallamothu B; Najarian K

Journal

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vol. 2016, , pp. 643–646

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

8 2016

DOI

10.1109/embc.2016.7590784

ISSN

1557-170X