Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters-Reference-Cited by-同舟云学术

Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters

Published:2018-09-22 Issue:6 Volume:31 Page:1805-1822
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Georgakopoulos S. V.,Kottari K.,Delibasis K.,Plagianakos V. P.,Maglogiannis I.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3711-y.pdf

Reference44 articles.

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3. Rogers HW, Weinstock MA, Harris AR et al (2010) Incidence estimate of nonmelanoma skin cancer in the United States, 2006. Arch Dermatol 146(3):283–287

4. American Cancer Society (2015) Cancer facts and figures. http://www.cancer.org/research/cancerfactsstatistics/cancerfactsfigures2015/ . Accessed 12 May 2015

5. Maglogiannis I, Doukas CN (2009) Overview of advanced computer vision systems for skin lesions characterization. IEEE Trans Inf Technol Biomed 13(5):721–733

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