Classification of basal cell carcinoma in human skin using machine learning and quantitative features captured by polarization sensitive optical coherence tomography-Reference-Cited by-同舟云学术

Classification of basal cell carcinoma in human skin using machine learning and quantitative features captured by polarization sensitive optical coherence tomography

Published:2016-08-29 Issue:9 Volume:7 Page:3721
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Marvdashti Tahereh,Duan Lian,Aasi Sumaira Z.,Tang Jean Y.,Ellerbee Bowden Audrey K.

Funder

Stanford Bio-X Seed Grant

Stanford Graduate Fellowship

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference30 articles.

1. Prevalence of a History of Skin Cancer in 2007

2. Imaging actinic keratosis by high-definition optical coherence tomography. Histomorphologic correlation: a pilot study

3. Comparison of ex vivo optical coherence tomography with conventional frozen-section histology for visualizing basal cell carcinoma during Mohs micrographic surgery

4. Optical Coherence Tomography

5. Optical coherence tomography

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