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dc.contributor.authorTan, Sing Yee
dc.contributor.supervisorDr Amandeep Sidhu
dc.date.accessioned2017-01-30T09:53:24Z
dc.date.available2017-01-30T09:53:24Z
dc.date.created2016-02-18T06:16:07Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/20.500.11937/760
dc.description.abstract

In this research, the improved mass spring model is presented to simulate the human liver deformation. The underlying MSM is redesigned where fuzzy knowledge-based approaches are implemented to determine the stiffness values. Results show that fuzzy approaches are in very good agreement to the benchmark model. The novelty of this research is that for liver deformation in particular, no specific contributions in the literature exist reporting on real-time knowledge-based fuzzy MSM for liver deformation.

dc.languageen
dc.publisherCurtin University
dc.titleReal-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
dc.typeThesis
dcterms.educationLevelM.Phil.
curtin.note

Author name on Title page: Joey Tan Sing Yee

curtin.departmentCurtin Sarawak Research Institute
curtin.accessStatusOpen access


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