TY - GEN
T1 - Label-Free Diagnosis of Cervical Cancer Based on Ultrahigh Resolution Optical Coherence Microscopy and Machine Learning
AU - Zeng, Xianxu
AU - Zhang, Xiaoan
AU - Xu, Tao
AU - Li, Canyu
AU - Wang, Xiaofang
AU - Jerwick, Jason
AU - Ning, Yuan
AU - Wang, Yihong
AU - Zhang, Linlin
AU - Zhang, Zhan
AU - Ma, Yutao
AU - Zhou, Chao
N1 - Publisher Copyright:
© 2018 OSA.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Current tools for cervical cancer screening cannot provide real-time results or localize suspicious regions. Label-free optical coherence microscopy combined with a machine learning algorithm shows great potential to provide real-time diagnosis of human cervical diseases.
AB - Current tools for cervical cancer screening cannot provide real-time results or localize suspicious regions. Label-free optical coherence microscopy combined with a machine learning algorithm shows great potential to provide real-time diagnosis of human cervical diseases.
UR - http://www.scopus.com/inward/record.url?scp=85065626902&partnerID=8YFLogxK
U2 - 10.1364/cleopr.2018.w4k.4
DO - 10.1364/cleopr.2018.w4k.4
M3 - Conference contribution
AN - SCOPUS:85065626902
T3 - 2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
BT - 2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
Y2 - 29 July 2018 through 3 August 2018
ER -