Label-Free Diagnosis of Cervical Cancer Based on Ultrahigh Resolution Optical Coherence Microscopy and Machine Learning

  • Xianxu Zeng
  • , Xiaoan Zhang
  • , Tao Xu
  • , Canyu Li
  • , Xiaofang Wang
  • , Jason Jerwick
  • , Yuan Ning
  • , Yihong Wang
  • , Linlin Zhang
  • , Zhan Zhang
  • , Yutao Ma
  • , Chao Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580453
DOIs
StatePublished - Jul 2 2018
Event2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018 - Wanchai, Hong Kong
Duration: Jul 29 2018Aug 3 2018

Publication series

Name2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018

Conference

Conference2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
Country/TerritoryHong Kong
CityWanchai
Period07/29/1808/3/18

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