@inproceedings{47c74d4115b945b9a76aeb99e8ad76a6,
title = "Real-time colorectal cancer diagnosis using PR-OCT with deep learning",
abstract = "A pattern-recognition optical coherence tomography was designed to automate diagnosis of human colorectal tissue in real-time. An area under the ROC of 0.998 is achieved by our initial experience with 18 ex vivo human specimens.",
author = "Yifeng Zeng and Shiqi Xu and Chapman, {William C.} and Shuying Li and Zahra Alipour and Heba Abdelal and Deyali Chatterjee and Matthew Mutch and Quing Zhu",
note = "Publisher Copyright: {\textcopyright} OSA 2020 {\textcopyright} 2020 The Author(s).; Optical Coherence Tomography, OCT 2020 ; Conference date: 20-04-2020 Through 23-04-2020",
year = "2020",
language = "English",
isbn = "9781943580743",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "Optical Coherence Tomography, OCT 2020",
}