Unified approach for lesion border detection based on mixture modeling and local entropy thresholding-Reference-Cited by-同舟云学术

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Unified approach for lesion border detection based on mixture modeling and local entropy thresholding

Published:2013-04-11 Issue:3 Volume:19 Page:314-319
ISSN:0909-752X
Container-title:Skin Research and Technology
language:en
Short-container-title:Skin Res Technol

Author:

Abbas Qaisar¹²,Garcia Irene Fondón³,Emre Celebi M.⁴,Ahmad Waqar⁵,Mushtaq Qaisar⁵

Affiliation:

1. Department of Computer Science; COMSATS Institute of Information Technology; Sahiwal Pakistan

2. Center of Imaging and Computational Intelligence (CICI) CIIT; Sahiwal Pakistan

3. Department of Signal Theory and Communications; School of Engineering Path of Discovery; Seville Spain

4. Department of Computer Science; Louisiana State University; Shreveport LA USA

5. Department of Computer Science; National Textile Univrsity-37610; Faisalabad Pakistan

Publisher

Wiley

Subject

Dermatology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/srt.12047/fullpdf

Reference27 articles.

1. Merkel cell carcinoma of the upper extremity: case report and an update;Papamichail;World J Surg Oncol,2008

2. Cancer statistics, 2011: the impact of eliminating socioeconomic and racial disparities on premature cancer deaths;Siegel;Cancer J Clin,2011

3. Automated diagnosis of pigmented skin lesions;Rubegni;Int J Cancer,2002

4. Stoecker, Lesion border detection in dermoscopy images;Emre;Comput Med Imaging Graph,2009

5. A methodological approach to the classification of dermoscopy images;Celebi;Compute Med Image Graphics,2007

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4. The Possibility of Deep Learning-Based, Computer-Aided Skin Tumor Classifiers;Frontiers in Medicine;2019-08-27

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