Segmentation Of Ultisequence Medical Images Using Random Walks Algorithm And Rough Sets Theory

Lim, Khai Yin (2017) Segmentation Of Ultisequence Medical Images Using Random Walks Algorithm And Rough Sets Theory. PhD thesis, Universiti Sains Malaysia.

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    Abstract

    Segmentasi imej Magnetic Resonance (MR) merupakan satu tugas klinikal yang mencabar. Selalunya, satu jenis imej MR tidak mencukupi untuk memberikan maklumat yang lengkap mengenai sesuatu tisu patologi atau objek visual dari imej Accurate Magnetic Resonance (MR) image segmentation is a clinically challenging task. More often than not, one type of MRI image is insufficient to provide the complete information about a pathological tissue or a visual object from the image

    Item Type: Thesis (PhD)
    Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
    Divisions: Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
    Depositing User: Mr Erwan Roslan
    Date Deposited: 13 Feb 2018 15:22
    Last Modified: 17 May 2018 11:09
    URI: http://eprints.usm.my/id/eprint/38873

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