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dc.contributor.authorFarkas, Jozsef Zoltanen_UK
dc.contributor.authorSmith, Gary Ten_UK
dc.contributor.authorWebb, Glenn Fen_UK
dc.description.abstractWe quantify a recent five-category CT histogram based classification of ground glass opacities using a dynamic mathematical model for the spatial-temporal evolution of malignant nodules. Our mathematical model takes the form of a spatially structured partial differential equation with a logistic crowding term. We present the results of extensive simulations and validate our model using patient data obtained from clinical CT images from patients with benign and malignant lesions.en_UK
dc.publisherAmerican Institute of Mathematical Sciencesen_UK
dc.relationFarkas JZ, Smith GT & Webb GF (2018) A Dynamic Model of CT Scans for Quantifying Doubling Time of Ground Glass Opacities Using Histogram Analysis. Mathematical Biosciences and Engineering, 15 (5), pp. 1203-1244.
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Mathematical Biosciences and Engineering following peer review. The definitive publisher-authenticated version József Z. Farkas, Gary T. Smith, Glenn F. Webb. A dynamic model of CT scans for quantifying doubling time of ground glass opacities using histogram analysis. Mathematical Biosciences & Engineering, 2018, 15 (5) : 1203-1224. doi: 10.3934/mbe.2018055 is available online at:
dc.subjectMedical imagingen_UK
dc.subjectCT scanen_UK
dc.subjectlogistic partial differential equationen_UK
dc.titleA Dynamic Model of CT Scans for Quantifying Doubling Time of Ground Glass Opacities Using Histogram Analysisen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[CT-23Jan2018.pdf] Until this work is formally published there will be an embargo on the full text of this work.en_UK
dc.citation.jtitleMathematical Biosciences and Engineeringen_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.affiliationVanderbilt Universityen_UK
dc.contributor.affiliationVanderbilt Universityen_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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