Search or add a thesis

Advanced Search (Beta)
Home > Unsupervised Tumor Extraction and Classification

Unsupervised Tumor Extraction and Classification

Thesis Info

Access Option

External Link

Author

Javeed, Umer

Program

PhD

Institute

Isra University

City

Hyderabad

Province

Sindh

Country

Pakistan

Thesis Completing Year

2015

Thesis Completion Status

Completed

Subject

Applied Sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/2047/1/16121s.pdf

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676727640472

Similar

Similar Thesis

Showing 1 to 20 of 100 entries
TitleAuthorSupervisorDegreeInstitute
Unsupervised Tumor Extraction and Classification
Javeed, Umer
PhD
Isra University, Hyderabad, Pakistan
Unsupervised Tumor Extraction and Classification
Javeed, Umer
PhD
Isra University, Islamabad, Pakistan
Objects recognition using unsupervised feature extraction
Shahzad Hussain
Umer Javed
BS
International Islamic University, Islamabad, Pakistan
Unsupervised Extraction of Data from Semi - Structured Web Pages
Zahur Ahmad
Mphil
Quaid-i-Azam University, Islamabad, Pakistan
Early Detection and Classification of Breast Tumor from Mammography
Mughal, Bushra
PhD
COMSATS University Islamabad, Islamabad, Pakistan
Tumor Detection, Classification and Risk Assessment in Digital Mammograms
Sadad, Tariq
PhD
International Islamic University, Islamabad, Pakistan
Intelligent Detection and Classification Methodology for Multidimensional Lung Tumor Cells
Sheeraz Akram
PhD
National University of Sciences & Technology, Islamabad, Pakistan
Feature Selection for Early Classification of Tumor Masses
Fawad and Fazle Azim
Bakhtiar Ali
BET
COMSATS University Islamabad, Islamabad, Pakistan
Brain Tumor Segmentation and Classification Using AI Techniques from MR Images
Muhammad Kaleem
MS
International Islamic University, Islamabad, Pakistan
Classification of Lung Tumor CT images using fractal analysis
Assad Ali
H. M Faisal Zafar
MS
International Islamic University, Islamabad, Pakistan
Segmentation and classification of brain tumor MR images through advance machine learning methods
Ms Lubna Farihi
MS
National University of Sciences & Technology, Islamabad, Pakistan
Automated Segmentation and Classification of Brain Tumor Using Image Processing and Machine Learning Techniques
Najeeb Ullah Shah
Sheikh Ziauddin
RCS
COMSATS University Islamabad, Islamabad, Pakistan
Automated Detection and Classification of Brain Tumor from Mri Images Using Machine Learning Methods
Gilanie, Ghulam
PhD
COMSATS University Islamabad, Islamabad, Pakistan
Studies in the Extraction and Structure Elucidation of Potential Anti-tumor Agents from Species of Asteraceae and Lauraceae
Sami Ullah
PhD
Government College University, Lahore, Pakistan
Ucgat: An Unsupervised Chromatin Grouping and Annotation Toolbox
Sehar Ali
Nighat Noureen
BSB
COMSATS University Islamabad, Islamabad, Pakistan
Brain Tumor Detector
Fariha Zahir Bokhari
Sheikh Ziauddin
BCS
COMSATS University Islamabad, Islamabad, Pakistan
Classification and Associative Classification Rule Discovery Using Ant Colony Optimization
Shahzad, Waseem
PhD
National University of Computer and Emerging Sciences, Islamabad, Pakistan
Exploring Unsupervised Learning for Feature Location in Software
Muhammad Noman Aslam
Onaiza Maqbool
Mphil
Quaid-i-Azam University, Islamabad, Pakistan
Scoring based unsupervised approach to classify research paper
Huma Altaf
Sadia Arshid
BS
International Islamic University, Islamabad, Pakistan
An Evolutionary Approach to Unsupervised Color Image Segmentation
Khan, Ahmad
PhD
National University of Computer and Emerging Sciences, Islamabad, Pakistan
TitleAuthorSupervisorDegreeInstitute
Showing 1 to 20 of 100 entries

Similar News

Similar Articles

Similar Article Headings