On the Automatic 2D Retinal Vessel Extraction

Retinal vessel extraction has become an important task of medical image processing applications in order to diagnose ocular diseases. In this paper, a novel methodology is proposed to extract vessels automatically from retinal angiographies. The proposed methodology has been implemented by means of...

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Hauptverfasser:	Alonso-Montes, C., Vilariño, D. L., Penedo, M. G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Active Contour Applied sciences Cellular Neural Network Computer science control theory systems Data processing. List processing. Character string processing Exact sciences and technology Initial Contour Memory organisation. Data processing Software Vessel Extraction Vessel Segmentation
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Retinal vessel extraction has become an important task of medical image processing applications in order to diagnose ocular diseases. In this paper, a novel methodology is proposed to extract vessels automatically from retinal angiographies. The proposed methodology has been implemented by means of Cellular Neural Networks techniques to take advantage of their capabilities of massively parallel processing reducing computation time required.
ISSN:	0302-9743 1611-3349
DOI:	10.1007/11552499_19