A feature fusion system for basal cell carcinoma detection through data-driven feature learning and patient profile-Reference-Cited by-同舟云学术

A feature fusion system for basal cell carcinoma detection through data-driven feature learning and patient profile

Published:2017-10-22 Issue:2 Volume:24 Page:256-264
ISSN:0909-752X
Container-title:Skin Research and Technology
language:en
Short-container-title:Skin Res Technol

Author:

Kharazmi P.¹^ORCID,Kalia S.²³,Lui H.²³,Wang Z. J.⁴,Lee T. K.¹²³

Affiliation:

1. Biomedical Engineering Program; University of British Columbia; Vancouver BC Canada

2. Department of Dermatology and Skin Science; University of British Columbia; Vancouver BC Canada

3. Departments of Cancer Control Research and Integrative Oncology; British Columbia Cancer Agency; Vancouver BC Canada

4. Department of Electrical and Computer Engineering; University of British Columbia; Vancouver BC Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Dermatology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/srt.12422/fullpdf

Reference22 articles.

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2. Medical and Editorial Content Team ACS Key Statistics for Basal and Squamous Cell Skin Cancers: American Cancer Society https://www.cancer.org/cancer/basal-and-squamous-cellskin-cancer/about/key-statistics.html

3. Argenziano G Soyer P De GG Introduction to Dermoscopy: DS Medica S.r.l. http://www.dermoscopy.org/atlas/base.htm

4. How to diagnose nonpigmented skin tumors: a review of vascular structures seen with dermoscopy: part II. Nonmelanocytic skin tumors;Zalaudek;J Am Acad Dermatol,2010

5. Vascular patterns in dermoscopy;Martin;Actas Dermosifiliogr,2012

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