DocumentCode :
1769425
Title :
Automated classification of basal cell carcinoma in mouse skin by polarization sensitive optical coherence tomography
Author :
Lian Duan ; Marvdashti, Tahereh ; Lee, Albert ; Tang, Jean Y. ; Ellerbee, Audrey K.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
fYear :
2014
fDate :
8-13 June 2014
Firstpage :
1
Lastpage :
2
Abstract :
An automated, support-vector-machine classifier was developed to discriminate basal cell carcinoma from healthy mouse skin images obtained with polarization sensitive optical coherence tomography. The results demonstrate that polarization sensitive optical coherence tomography has the potential to achieve accurate diagnosis of skin cancer noninvasively.
Keywords :
biomedical optical imaging; cancer; cellular biophysics; image classification; medical image processing; optical tomography; skin; support vector machines; basal cell carcinoma classification; healthy mouse skin images; polarization sensitive optical coherence tomography; skin cancer diagnosis; support-vector-machine classifier; Biomedical optical imaging; Mice; Optical imaging; Optical polarization; Optical sensors; Skin; Skin cancer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Lasers and Electro-Optics (CLEO), 2014 Conference on
Conference_Location :
San Jose, CA
Type :
conf
Filename :
6988327
Link To Document :
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