Segmentation of multisequence medical images using random walks algorithm and rough sets theory.

Simple item page
dc.contributor.authorKhai Yin, Lim
dc.date.accessioned2018-08-16T07:18:45Z
dc.date.available2018-08-16T07:18:45Z
dc.date.issued2017-07
dc.description.abstractSegmentasi 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.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6335
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectMedical imagesen_US
dc.subjectAlgorithmen_US
dc.titleSegmentation of multisequence medical images using random walks algorithm and rough sets theory.en_US
dc.typeThesisen_US
Files
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Pusat Pengajian Sains Komputer - Tesis