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

Тип публикации: Proceedings Article
Дата публикации: 2020-11-02
Institute of Electrical and Electronics Engineers (IEEE)
SJR: —
CiteScore: —
Impact factor: —
ISSN: 
Краткое описание
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.
Для доступа к списку цитирований публикации необходимо авторизоваться.
 Войти с ORCID

Топ-30

Журналы

1
Photonics
Photonics, 1, 100%
Photonics
1 публикация, 100%
1

Издатели

1
MDPI
MDPI, 1, 100%
MDPI
1 публикация, 100%
1
  • Мы не учитываем публикации, у которых нет DOI.
  • Статистика публикаций обновляется еженедельно.

Вы ученый?

Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
 Войти с ORCID
Метрики
1
Поделиться
Цитировать
ГОСТ |
Цитировать
ГОСТ Скопировать
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.
ГОСТ со всеми авторами (до 50) Скопировать
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 |
Цитировать
RIS Скопировать
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
Цитировать
BibTex (до 50 авторов) Скопировать
@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)}
}
Ошибка в публикации?