NUST Institutions Library Catalogue catalog › Details for: Segmentation and classification of brain tumor MR images through advance machine learning methods/

Normal view MARC view ISBD view

Segmentation and classification of brain tumor MR images through advance machine learning methods/ Lubna Farhi

By: Farhi Lubna Contributor(s): Supervisor:Dr.Adeel Yusuf Material type: Text

TextKarachi; PNEC NUST; 2018Description: 124,p; ill; 30,cmSubject(s): PhD-Electrical EngineeringDDC classification: 200 Online resources: Click here to access online

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CLPT-243
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CLPT-242

Total holds: 0

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	200 Robust/Optimal Control of Minimum-Phase Nonlinear Systems/	200 Robust/Optimal Control of Minimum-Phase Nonlinear Systems/	200 Multi-resolution Transform based Feature Extraction Techniques for Differentiating Glioma Grades using MRI Images/	200 Segmentation and classification of brain tumor MR images through advance machine learning methods/	200 Segmentation and classification of brain tumor MR images through advance machine learning methods/	200 A Framework of an Ad-hoc, Secure, Trustworthy (FAST) C4I System using ommercial O the Shelf (COTS) Items and Open Source Software (OSS)A Framework of an Ad-hoc, Secure, Trustworthy (FAST) C4I System using ommercial O the Shelf (COTS) Items and Open Source Software (OSS)/	200 A Framework of an Ad-hoc, Secure, Trustworthy (FAST) C4I System using ommercial O the Shelf (COTS) Items and Open Source Software (OSS)A Framework of an Ad-hoc, Secure, Trustworthy (FAST) C4I System using ommercial O the Shelf (COTS) Items and Open Source Software (OSS)/	Next

There are no comments on this title.

to post a comment.