Medical images classification for skin cancer using quantitative image features with optical coherence tomography

Medical images classification for skin cancer using quantitative image features with optical coherence tomography

Optical coherence tomography (OCT) is employed in the diagnosis of skin cancer. Particularly, quantitative image features extracted from OCT images might be used as indicators to classify the skin tumors. In the present paper, we investigated intensity-based, texture-based and fractal-based features...

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Bibliographic Details
Main Authors: Wei Gao, Valery P. Zakharov, Oleg O. Myakinin, Ivan A. Bratchenko, Dmitry N. Artemyev, Dmitry V. Kornilin
Format: Article
Language:English
Published: World Scientific Publishing 2016-03-01
Series:Journal of Innovative Optical Health Sciences
Subjects:
Optical coherence tomography
skin tumor
texture analysis
fractal analysis
differentiate box counting
Online Access:http://www.worldscientific.com/doi/pdf/10.1142/S1793545816500036

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http://www.worldscientific.com/doi/pdf/10.1142/S1793545816500036

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