Machine-Learning Classification of Port Wine Stain With Quantitative Features of Optical Coherence Tomography Image

Machine-Learning Classification of Port Wine Stain With Quantitative Features of Optical Coherence Tomography Image

Port wine stain (PWS) is the benign congenital capillary malformation of skin, occurring in 0.3% to 0.5% of the population. In this paper, we build two automated support vector machine (SVM) based classifiers by extracting quantitative features from normal and PWS tissue images recorded by optical c...

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Bibliographic Details
Main Authors: Shengnan Ai, Chengming Wang, Wenxin Zhang, Wenchao Liao, Juicheng Hsieh, Zhenyu Chen, Bin He, Xiao Zhang, Ning Zhang, Ying Gu, Ping Xue
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Photonics Journal
Subjects:
Port wine stain
optical coherence tomography
machine learning.
Online Access:https://ieeexplore.ieee.org/document/8896069/

Internet

https://ieeexplore.ieee.org/document/8896069/

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