@inproceedings{d2784fe09922402e9281d49c275470e4,
title = "Label-Free Diagnosis of Cervical Cancer Based on Ultrahigh Resolution Optical Coherence Microscopy and Machine Learning",
abstract = "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.",
author = "Xianxu Zeng and Xiaoan Zhang and Tao Xu and Canyu Li and Xiaofang Wang and Jason Jerwick and Yuan Ning and Yihong Wang and Linlin Zhang and Zhan Zhang and Yutao Ma and Chao Zhou",
note = "Publisher Copyright: {\textcopyright} 2018 OSA.; 2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018 ; Conference date: 29-07-2018 Through 03-08-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1364/cleopr.2018.w4k.4",
language = "English",
series = "2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018",
}