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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| creator | Alonso-Montes, C. Vilariño, D. L. Penedo, M. G. |
| description | 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. |
| doi_str_mv | 10.1007/11552499_19 |
| format | Conference Proceeding |
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L. ; Penedo, M. G.</creator><contributor>Perner, Petra ; Singh, Maneesha ; Apte, Chid ; Singh, Sameer</contributor><creatorcontrib>Alonso-Montes, C. ; Vilariño, D. L. ; Penedo, M. G. ; Perner, Petra ; Singh, Maneesha ; Apte, Chid ; Singh, Sameer</creatorcontrib><description>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.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540288336</identifier><identifier>ISBN: 3540288333</identifier><identifier>ISBN: 3540287574</identifier><identifier>ISBN: 9783540287575</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540319999</identifier><identifier>EISBN: 9783540319993</identifier><identifier>DOI: 10.1007/11552499_19</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>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. 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L.</creatorcontrib><creatorcontrib>Penedo, M. G.</creatorcontrib><title>On the Automatic 2D Retinal Vessel Extraction</title><title>Lecture notes in computer science</title><description>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.</description><subject>Active Contour</subject><subject>Applied sciences</subject><subject>Cellular Neural Network</subject><subject>Computer science; control theory; systems</subject><subject>Data processing. List processing. Character string processing</subject><subject>Exact sciences and technology</subject><subject>Initial Contour</subject><subject>Memory organisation. 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Data processing</topic><topic>Software</topic><topic>Vessel Extraction</topic><topic>Vessel Segmentation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alonso-Montes, C.</creatorcontrib><creatorcontrib>Vilariño, D. L.</creatorcontrib><creatorcontrib>Penedo, M. G.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alonso-Montes, C.</au><au>Vilariño, D. L.</au><au>Penedo, M. G.</au><au>Perner, Petra</au><au>Singh, Maneesha</au><au>Apte, Chid</au><au>Singh, Sameer</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On the Automatic 2D Retinal Vessel Extraction</atitle><btitle>Lecture notes in computer science</btitle><date>2005</date><risdate>2005</risdate><spage>165</spage><epage>173</epage><pages>165-173</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540288336</isbn><isbn>3540288333</isbn><isbn>3540287574</isbn><isbn>9783540287575</isbn><eisbn>3540319999</eisbn><eisbn>9783540319993</eisbn><abstract>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.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11552499_19</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2005, p.165-173 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_17094693 |
| source | Springer Books |
| subjects | 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 |
| title | On the Automatic 2D Retinal Vessel Extraction |
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