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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5490

Title: DoctorEye: A clinically driven multifunctional platform, for accurate processing of tumors in medical images
Authors: Skounakis, E
Farmaki, C
Sakkalis, V
Roniotis, A
Banitsas, KA
Graf, N
Marias, K
Keywords: Medical imaging
Interactive segmentation
Image analysis
Virtualization of the human physiology
Computer aided diagnosis
Decision support systems
Publication Date: 2010
Publisher: PubMed Central
Citation: The Open Medical Informatics Journal, 4: 105-115, 2010
Abstract: This 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.
Description: Copyright @ Skounakis et al.
URI: http://bura.brunel.ac.uk/handle/2438/5490
DOI: http://dx.doi.org/10.2174/1874431101004010105
ISSN: 1874-4311
Appears in Collections:School of Engineering and Design Research papers
Electronic and Computer Engineering
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