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Efficient Hierarchical Graph-based Segmentation for Tumor Detection in Magnetic Resonance Images / Madeha Safdar

By: Safdar, MadehaContributor(s): Dr. Naima Material type: Text

TextPublisher: Islamabad : MCS - NUST, 2016Description: 42 p. ; 30cmSubject(s): Computer Science Engineering-MS ThesisDDC classification: 004

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	004 (Browse shelf)	Available		CL-T-1244
Thesis	Central Library (CL)	Central Library (CL)	Thesis	004 (Browse shelf)	Available		CL-T-1303

Total holds: 0

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Previous	004 framework to Mitigate Security Vulnerability (Denial of Service(DOS) ) of Session Initiation Protocol / Voice over Internal Protocol (SIP/VOIP) /	004 Framework to cluster structured data and a recovery mechanism	004 Automatic Filtration of Spams in Multilingual Short Messages on Mobile and Social Media	004 Efficient Hierarchical Graph-based Segmentation for Tumor Detection in Magnetic Resonance Images /	004 Usability evaluation and interface design of mobile educational learning applications for children	004 Privacy And Security In Cloud Computing	004 Study and implementation of efficient algorithms for collective communication operation for message passing in Java	Next

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