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Brain Tumor Segmentation from Multi-modality MRI Scans Using Machine Learning

By: Khalid Usman Material type: Text

TextPublisher: Islamabad NUST-SEECS 2015Description: 47p. ill.; CD ROMDDC classification: MSCS-2 USM Online resources: Click here to access online

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Item type	Current location	Home library	Collection	Shelving location	Call number	Status	Barcode
Thesis	Central Library (CL)	Central Library (CL)		Thesis	005 (Browse shelf)	Available	CL-T-3766
Thesis	Central Library (CL)	Central Library (CL)			005 (Browse shelf)	Available	CL-T-3686
Project Report	Central Library (CL)	Central Library (CL)	REF	Reference	MSCS-2 USM (Browse shelf)	Available	SEECSP01773

Total holds: 0

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Previous	005 Thesis: Desining and Development of Indignous Combat Scenarios	005 AUTOMATED DETECTION AND SCREENING OF DIABETIC RETINOPATHY USING FUNDS IMAGE ANALYSIS /	005 Automatic signature segmentation using hyperspectral imaging	005 Brain Tumor Segmentation from Multi-modality MRI Scans Using Machine Learning	005 Identification of functional neuroimaging markers for epilepsy using fMRI	005 Thesis: Prediction of Causative Varlante in Cancer Using NGS And GWAS	005 MS/Thesis:A comprehensive analysis of genomic symbolic-to-numeric representations for a digital signal processing-based gene and exon prediction	Next

Supervisors: Dr. Kashif Mahmood Rajpoot, Dr. Muhammad Muneeb ullah, Dr. Rafia Mumtaz, Dr. Moazam Faraz

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