Automatic lesion border selection in dermoscopy images using morphology and color features-Reference-Cited by-同舟云学术

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Automatic lesion border selection in dermoscopy images using morphology and color features

Published:2019-03-14 Issue:4 Volume:25 Page:544-552
ISSN:0909-752X
Container-title:Skin Research and Technology
language:en
Short-container-title:Skin Res Technol

Author:

Mishra Nabin K.¹,Kaur Ravneet²^ORCID,Kasmi Reda³⁴,Hagerty Jason R.¹,LeAnder Robert²,Stanley Ronald J.⁵,Moss Randy H.⁵,Stoecker William V.¹

Affiliation:

1. Stoecker and Associates Rolla Missouri

2. Department of Electrical and Computer EngineeringSouthern Illinois University Edwardsville Edwardsville Illinois

3. Department of Electrical EngineeringUniversity of Bejaia Bejaia Algeria

4. Department of Electrical EngineeringUniversity of Bouira Bouira Algeria

5. Department of Electrical and Computer EngineeringMissouri University of Science and Technology Rolla Missouri

Funder

National Institutes of Health

Publisher

Wiley

Subject

Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/srt.12685

Reference45 articles.

1. Cancer statistics, 2018

2. In Vivo Epiluminescence Microscopy: Improvement of Early Diagnosis of Melanoma

3. Dermoscopy of pigmented skin lesions;Soyer HP;Eur J Dermatol,2001

4. Is Dermoscopy Useful for the Diagnosis of Melanoma?

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