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Simulating cancer radiotherapy on a multi-level basis: Biology, oncology and image processing

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dc.contributor.author Dionysiou, DD en
dc.contributor.author Stamatakos, GS en
dc.contributor.author Marias, K en
dc.date.accessioned 2014-03-01T02:44:57Z
dc.date.available 2014-03-01T02:44:57Z
dc.date.issued 2007 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32048
dc.subject Glioblastoma en
dc.subject In silico oncology en
dc.subject Modelling en
dc.subject Radiotherapy en
dc.subject.other Computer simulation en
dc.subject.other Image processing en
dc.subject.other Oncology en
dc.subject.other Optimization en
dc.subject.other Tumors en
dc.subject.other Biocomplexity en
dc.subject.other Cellular events en
dc.subject.other Glioblastoma en
dc.subject.other Tumor growth en
dc.subject.other Radiotherapy en
dc.title Simulating cancer radiotherapy on a multi-level basis: Biology, oncology and image processing en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-540-73321-8_65 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-540-73321-8_65 en
heal.publicationDate 2007 en
heal.abstract Tumour growth and response to radiotherapeutic schemes is a markedly multiscale process which by no means can be reduced to only molecular or cellular events. Within this framework a new scientific area, i.e. in silico oncology has been proposed in order to address the previously mentioned hypercomplex process at essentially all levels of biocomplexity. This paper focuses on the case of imageable glioblastoma mulriforme response to radiotherapy and presents the basics of an essentially top-down modelling approach, aiming at an improved undestanding of cancer and at a patient-specific optimization of treatment. © Springer-Verlag Berlin Heidelberg 2007. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-540-73321-8_65 en
dc.identifier.volume 4561 LNCS en
dc.identifier.spage 569 en
dc.identifier.epage 575 en


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