An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach-Reference-Cited by-同舟云学术

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An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach

Published:2018-02-21 Issue:6 Volume:81 Page:528-543
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microsc Res Tech

Author:

Nasir Muhammad¹,Attique Khan Muhammad¹²^ORCID,Sharif Muhammad¹,Lali Ikram Ullah³,Saba Tanzila⁴,Iqbal Tassawar¹

Affiliation:

1. COMSATS Institute of Information Technology; Wah Cantt Pakistan

2. Department of Computer Science and Engineering; HITEC University; Museum Road, Taxila

3. Department of Software Engineering; University of Gujrat; Pakistan

4. College of Computer and Information Sciences Prince Sultan University; Riyadh, 11586 Saudi Arabia

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Reference61 articles.

1. Unsupervised skin lesions border detection via two-dimensional image analysis;Abbas;Computer Methods and Programs in Biomedicine,2011

2. Automatic skin tumour border detection for digital dermoscopy using a new digital image analysis scheme;Abbas;British Journal of Biomedical Science,2010

3. Abuzaghleh , O. Barkana , B. D. Faezipour , M. 2014 Systems, Applications and Technology Conference (LISAT), 2014 IEEE Long Island

4. Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention;Abuzaghleh;IEEE Journal of Translational Engineering in Health and Medicine,2015

5. Bagged textural and color features for melanoma skin cancer detection in dermoscopic and standard images;Alfed;Expert Systems with Applications,2017

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