Institute of Electrical and Electronics Engineers (IEEE)
,  pages 1

Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions

Evgeny A. Zherebtsov 1, 2
, 
M Zajnulina 3
, 
Ksenia Kandurova 4
, 
Viktor Dremin 2, 5
, 
Andrian Mamoshin 4
, 
Elena V. Potapova 4
, 
Sergey Socolovski 3
, 
Andrey V. Dunaev 6
, 
Edik Rafailov 3
1
 
2
 
3
 
4
 
5
 
6
 
Publication type: Proceedings Article
Publication date: 2020-11-02
Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A flexible fibre optical probe is implemented to record the parameters of the endogenous fluorescence during minimally invasive interventions in patients with cancers of hepatoduodenal area. Using machine learning techniques, the obtained spectra are classified to indicate cancerous or healthy tissue. For this, a set of different binary classifiers has been trained and tested. The classifiers showing best performance for this task are identified.
Found 

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
0
Share
Cite this
GOST |
Cite this
GOST Copy
Zherebtsov E. A. et al. Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions // Proceedings - International Conference Laser Optics 2020, ICLO 2020. 2020. p. 1.
GOST all authors (up to 50) Copy
Zherebtsov E. A., Zajnulina M., Kandurova K., Dremin V., Mamoshin A., Potapova E. V., Socolovski S., Dunaev A. V., Rafailov E. Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions // Proceedings - International Conference Laser Optics 2020, ICLO 2020. 2020. p. 1.
RIS |
Cite this
RIS Copy
TY - CPAPER
DO - 10.1109/ICLO48556.2020.9285445
UR - https://ieeexplore.ieee.org/document/9285445/
TI - Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions
T2 - Proceedings - International Conference Laser Optics 2020, ICLO 2020
AU - Zherebtsov, Evgeny A.
AU - Zajnulina, M
AU - Kandurova, Ksenia
AU - Dremin, Viktor
AU - Mamoshin, Andrian
AU - Potapova, Elena V.
AU - Socolovski, Sergey
AU - Dunaev, Andrey V.
AU - Rafailov, Edik
PY - 2020
DA - 2020/11/02
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@inproceedings{2020_Zherebtsov,
author = {Evgeny A. Zherebtsov and M Zajnulina and Ksenia Kandurova and Viktor Dremin and Andrian Mamoshin and Elena V. Potapova and Sergey Socolovski and Andrey V. Dunaev and Edik Rafailov},
title = {Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions},
year = {2020},
pages = {1},
month = {nov},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)}
}