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Hybrid Feature Selection and Abnormality Identification in Brain Magnetic Resonance Imaging using Swarm Intelligent and Machine Learning / Atiq ur Rehman

By: Atiq ur RehmanContributor(s): Dr. Aasia Khanum Material type: Text

TextPublisher: Islamabad : CEME - NUST, 2013Description: 67 p. ; 30cmSubject(s): Computer Science-MS-ThesisDDC classification: 621.39

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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	621.39 (Browse shelf)	Available		CL-T-329

Total holds: 0

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Previous	621.39 Convolutive Blind Source Separation in State Space Framework with Wavelet Shrinkage Denoising /	621.39 FPGA Framework Adaptation for Network on System based Embedded System /	621.39 HL7 FHIR Compliant Data Access Model for Maternal Health Information Systems /	621.39 Hybrid Feature Selection and Abnormality Identification in Brain Magnetic Resonance Imaging using Swarm Intelligent and Machine Learning /	621.39 Automated Glaucoma Detection using Retinal Layers Segmentation and Optic Cup to Disc Ratio in OCT Images by	621.39 Mobile AD HOC Network and Coding Aware Routing Protocol /	621.39 HARDWARE DESIGN OF EXTENDED MAXIMUM AVERAGE CORRELATION HEIGHT FILTER /	Next

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