Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion-Reference-Cited by-同舟云学术

Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion

Published:2019-02-15 Issue:6 Volume:82 Page:741-763
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microsc Res Tech

Author:

Khan Muhammad Attique¹,Akram Tallha²,Sharif Muhammad³,Saba Tanzila⁴^ORCID,Javed Kashif⁵,Lali Ikram Ullah⁶,Tanik Urcun John⁷,Rehman Amjad⁸

Affiliation:

1. Department of Computer Science and EngineeringHITEC University Museum Road, Taxila Pakistan

2. Department of Electrical EngineeringCOMSATS University Islamabad Wah Campus Pakistan

3. Department of Computer ScienceCOMSATS University Islamabad Wah Campus Pakistan

4. College of Computer and Information SciencesPrince Sultan University Riyadh SA

5. Department of RoboticsSMME NUST Islamabad Pakistan

6. Department of Computer ScienceUniversity of Gujrat Gujrat Pakistan

7. Computer Science and Information Systems Texas A&M University‐Commerce USA

8. Department of Information SystemsAl Yamamah University Riyadh KSA

Funder

Prince Sultan University Riyadh Saudi Arabia

Machine Learning Research Group

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.23220

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4. Skin lesion segmentation and recognition using multichannel saliency estimation and M‐SVM on selected serially fused features;Akram T.;Journal of Ambient Intelligence and Humanized Computing,2018

5. Alfed N. Khelifi F. &Bouridane A.(2016).Improving a bag of words approach for skin cancer detection in dermoscopic images. Paper presented at the Control Decision and Information Technologies (CoDIT) 2016 International Conference.

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