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

E. Zherebtsov; M. Zajnulina; K. Kandurova; V. Dremin; A. Mamoshin; E. Potapova; S. Sokolovski; A. Dunaev; E.U. Rafailov

doi:10.1109/ICLO48556.2020.9285445

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

E. Zherebtsov
, M. Zajnulina
, K. Kandurova
, V. Dremin
, A. Mamoshin
, E. Potapova
, S. Sokolovski
, A. Dunaev
, E.U. Rafailov

Research output: Chapter in Book/Published conference output › Conference publication

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings - International Conference Laser Optics 2020, ICLO 2020
Publisher	IEEE
ISBN (Electronic)	978-1-7281-5233-2
ISBN (Print)	978-1-7281-5232-5, 978-1-7281-5234-9
DOIs	https://doi.org/10.1109/ICLO48556.2020.9285445
Publication status	Published - 15 Dec 2020
Event	2020 International Conference Laser Optics (ICLO) - Online Duration: 2 Nov 2020 → 6 Nov 2020

Publication series

Name	2020 International Conference Laser Optics (ICLO)
Publisher	IEEE
ISSN (Print)	2640-8201
ISSN (Electronic)	2642-5580

Conference

Conference	2020 International Conference Laser Optics (ICLO)
City	Online
Period	2/11/20 → 6/11/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/ICLO48556.2020.9285445

http://jultika.oulu.fi/files/nbnfi-fe202103036410.pdf

Cite this

Zherebtsov, E., Zajnulina, M., Kandurova, K., Dremin, V., Mamoshin, A., Potapova, E., Sokolovski, S., Dunaev, A., & Rafailov, E. U. (2020). Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions. In Proceedings - International Conference Laser Optics 2020, ICLO 2020 (2020 International Conference Laser Optics (ICLO)). IEEE. https://doi.org/10.1109/ICLO48556.2020.9285445

@inproceedings{0171b70f8574491c849c7e06a5ec6dd6,

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

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.",

author = "E. Zherebtsov and M. Zajnulina and K. Kandurova and V. Dremin and A. Mamoshin and E. Potapova and S. Sokolovski and A. Dunaev and E.U. Rafailov",

year = "2020",

month = dec,

day = "15",

doi = "10.1109/ICLO48556.2020.9285445",

language = "English",

isbn = "978-1-7281-5232-5",

series = "2020 International Conference Laser Optics (ICLO)",

publisher = "IEEE",

booktitle = "Proceedings - International Conference Laser Optics 2020, ICLO 2020",

address = "United States",

note = "2020 International Conference Laser Optics (ICLO) ; Conference date: 02-11-2020 Through 06-11-2020",

}

Zherebtsov, E, Zajnulina, M, Kandurova, K, Dremin, V, Mamoshin, A, Potapova, E, Sokolovski, S, Dunaev, A & Rafailov, EU 2020, Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions. in Proceedings - International Conference Laser Optics 2020, ICLO 2020. 2020 International Conference Laser Optics (ICLO), IEEE, 2020 International Conference Laser Optics (ICLO), Online, 2/11/20. https://doi.org/10.1109/ICLO48556.2020.9285445

Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions. / Zherebtsov, E.; Zajnulina, M.; Kandurova, K. et al.
Proceedings - International Conference Laser Optics 2020, ICLO 2020. IEEE, 2020. (2020 International Conference Laser Optics (ICLO)).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Machine Learning aided Fiber-Optical System for Liver Cancer Diagnosis in Minimally Invasive Surgical Interventions

AU - Zherebtsov, E.

AU - Zajnulina, M.

AU - Kandurova, K.

AU - Dremin, V.

AU - Mamoshin, A.

AU - Potapova, E.

AU - Sokolovski, S.

AU - Dunaev, A.

AU - Rafailov, E.U.

PY - 2020/12/15

Y1 - 2020/12/15

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85099392703

UR - https://ieeexplore.ieee.org/document/9285445

U2 - 10.1109/ICLO48556.2020.9285445

DO - 10.1109/ICLO48556.2020.9285445

M3 - Conference publication

SN - 978-1-7281-5232-5

SN - 978-1-7281-5234-9

T3 - 2020 International Conference Laser Optics (ICLO)

BT - Proceedings - International Conference Laser Optics 2020, ICLO 2020

PB - IEEE

T2 - 2020 International Conference Laser Optics (ICLO)

Y2 - 2 November 2020 through 6 November 2020

ER -

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

Abstract

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UN SDGs

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