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Development of Segmentation Variability Maps to Improve Brain Tumor Quantitative Assessment Using Multimodal Magnetic Resonance Imaging

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개인저자Rios Piedra, Edgar Anselmo.
단체저자명University of California, Los Angeles. Biomedical Engineering 0289.
서명/저자사항Development of Segmentation Variability Maps to Improve Brain Tumor Quantitative Assessment Using Multimodal Magnetic Resonance Imaging.
발행사항[S.l.] : University of California, Los Angeles., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항215 p.
소장본 주기School code: 0031.
ISBN9780438077621
일반주기 Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Advisers: Alex A.T. Bui
요약Glioblastoma multiforme (GBM) is the most common type of primary brain tumor, characterized by a short survival period after diagnosis. As with most other cancers, treatment and follow-up decisions are made largely based on observed changes in t
요약The quantification of tumor measurements is problematic due to the systematic variability introduced while attempting to quantify tumor characteristics in uncertain regions. This issue is primarily observed around the tumor boundary, where it is
요약To address these problems, this dissertation describes a framework to help characterize factors that influence variability in brain tumor boundaries and to optimize their performance through methods that calculate an estimate of expected variabi
요약Altogether, this dissertation project provides further understanding of the sources of variability that arise in GBM across different image analysis methodologies and the integration of these insights into the development of tumor variability ma
일반주제명Medical imaging.
Computer science.
Biomedical engineering.
언어영어
기본자료 저록Dissertation Abstracts International79-11B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14999274

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