Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5490
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dc.contributor.authorSkounakis, E-
dc.contributor.authorFarmaki, C-
dc.contributor.authorSakkalis, V-
dc.contributor.authorRoniotis, A-
dc.contributor.authorBanitsas, KA-
dc.contributor.authorGraf, N-
dc.contributor.authorMarias, K-
dc.date.accessioned2011-07-04T11:15:03Z-
dc.date.available2011-07-04T11:15:03Z-
dc.date.issued2010-
dc.identifier.citationThe Open Medical Informatics Journal, 4: 105-115, 2010en_US
dc.identifier.issn1874-4311-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/5490-
dc.descriptionCopyright @ Skounakis et al.en_US
dc.description.abstractThis paper presents a novel, open access interactive platform for 3D medical image analysis, simulation and visualization, focusing in oncology images. The platform was developed through constant interaction and feedback from expert clinicians integrating a thorough analysis of their requirements while having an ultimate goal of assisting in accurately delineating tumors. It allows clinicians not only to work with a large number of 3D tomographic datasets but also to efficiently annotate multiple regions of interest in the same session. Manual and semi-automatic segmentation techniques combined with integrated correction tools assist in the quick and refined delineation of tumors while different users can add different components related to oncology such as tumor growth and simulation algorithms for improving therapy planning. The platform has been tested by different users and over large number of heterogeneous tomographic datasets to ensure stability, usability, extensibility and robustness with promising results. AVAILABILITY: THE PLATFORM, A MANUAL AND TUTORIAL VIDEOS ARE AVAILABLE AT: http://biomodeling.ics.forth.gr. It is free to use under the GNU General Public License.en_US
dc.languageeng-
dc.language.isoenen_US
dc.publisherPubMed Centralen_US
dc.subjectMedical imagingen_US
dc.subjectInteractive segmentationen_US
dc.subjectImage analysisen_US
dc.subjectVirtualization of the human physiologyen_US
dc.subjectComputer aided diagnosisen_US
dc.subjectDecision support systemsen_US
dc.titleDoctorEye: A clinically driven multifunctional platform, for accurate processing of tumors in medical imagesen_US
dc.typeResearch Paperen_US
dc.identifier.doihttp://dx.doi.org/10.2174/1874431101004010105-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel (Active)-
pubs.organisational-data/Brunel/Brunel (Active)/School of Engineering & Design-
pubs.organisational-data/Brunel/Research Centres-
pubs.organisational-data/Brunel/Research Centres/WNCC-
pubs.organisational-data/Brunel/School of Engineering & Design-
pubs.organisational-data/Brunel/School of Engineering & Design/WNCC-
Appears in Collections:Electronic and Computer Engineering
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Dept of Electronic and Electrical Engineering Research Papers

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