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