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Artificial Intelligence for Imaging Diagnostics in Neurosurgery. / Letyagin, Andrey Yu; Degtyareva, Liana O.; Golushko, Sergey K. и др.

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 336-337 8958201 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Letyagin, AY, Degtyareva, LO, Golushko, SK, Rzaev, JA, Amelin, ME, Pavlovsky, EN, Tuchinov, BN, Amelina, EV, Moisak, GI & Bulgakova, EG 2019, Artificial Intelligence for Imaging Diagnostics in Neurosurgery. в SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings., 8958201, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., стр. 336-337, 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019, Novosibirsk, Российская Федерация, 21.10.2019. https://doi.org/10.1109/SIBIRCON48586.2019.8958201

APA

Letyagin, A. Y., Degtyareva, L. O., Golushko, S. K., Rzaev, J. A., Amelin, M. E., Pavlovsky, E. N., Tuchinov, B. N., Amelina, E. V., Moisak, G. I., & Bulgakova, E. G. (2019). Artificial Intelligence for Imaging Diagnostics in Neurosurgery. в SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (стр. 336-337). [8958201] (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON48586.2019.8958201

Vancouver

Letyagin AY, Degtyareva LO, Golushko SK, Rzaev JA, Amelin ME, Pavlovsky EN и др. Artificial Intelligence for Imaging Diagnostics in Neurosurgery. в SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. стр. 336-337. 8958201. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). doi: 10.1109/SIBIRCON48586.2019.8958201

Author

Letyagin, Andrey Yu ; Degtyareva, Liana O. ; Golushko, Sergey K. и др. / Artificial Intelligence for Imaging Diagnostics in Neurosurgery. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 336-337 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

BibTeX

@inproceedings{af205a56f3024bbca9656e407a251281,
title = "Artificial Intelligence for Imaging Diagnostics in Neurosurgery",
abstract = "Improving the accuracy and timeliness of medical imaging in everyday clinical neurosurgery practice is an urgent problem for the health care of all countries. This problem will be solved with the help of artificial intelligence (AI). By performing the search and contouring of 'suspicious' pathological objects, making automatic measurements on 3D medical images (MRI, CT), formalizing quantitative indicators and compiling medical statistical reports, AI can solve diagnostic problems in radiology and medical imaging. The effect of introducing AI will be at least a more accurate and quick interpretation of images, implemented through a set of decision-making tools for medical specialists.",
keywords = "artificial intelligence, MR-Tomograms, MRI, neurooncology, neurosurgery",
author = "Letyagin, {Andrey Yu} and Degtyareva, {Liana O.} and Golushko, {Sergey K.} and Rzaev, {Jamil A.} and Amelin, {Mihail E.} and Pavlovsky, {Evgeniy N.} and Tuchinov, {Bair N.} and Amelina, {Evgeniya V.} and Moisak, {Galina I.} and Bulgakova, {Ekaterina G.}",
year = "2019",
month = oct,
day = "1",
doi = "10.1109/SIBIRCON48586.2019.8958201",
language = "English",
isbn = "978-1-7281-4402-3",
series = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "336--337",
booktitle = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
address = "United States",
note = "2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 ; Conference date: 21-10-2019 Through 27-10-2019",

}

RIS

TY - GEN

T1 - Artificial Intelligence for Imaging Diagnostics in Neurosurgery

AU - Letyagin, Andrey Yu

AU - Degtyareva, Liana O.

AU - Golushko, Sergey K.

AU - Rzaev, Jamil A.

AU - Amelin, Mihail E.

AU - Pavlovsky, Evgeniy N.

AU - Tuchinov, Bair N.

AU - Amelina, Evgeniya V.

AU - Moisak, Galina I.

AU - Bulgakova, Ekaterina G.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - Improving the accuracy and timeliness of medical imaging in everyday clinical neurosurgery practice is an urgent problem for the health care of all countries. This problem will be solved with the help of artificial intelligence (AI). By performing the search and contouring of 'suspicious' pathological objects, making automatic measurements on 3D medical images (MRI, CT), formalizing quantitative indicators and compiling medical statistical reports, AI can solve diagnostic problems in radiology and medical imaging. The effect of introducing AI will be at least a more accurate and quick interpretation of images, implemented through a set of decision-making tools for medical specialists.

AB - Improving the accuracy and timeliness of medical imaging in everyday clinical neurosurgery practice is an urgent problem for the health care of all countries. This problem will be solved with the help of artificial intelligence (AI). By performing the search and contouring of 'suspicious' pathological objects, making automatic measurements on 3D medical images (MRI, CT), formalizing quantitative indicators and compiling medical statistical reports, AI can solve diagnostic problems in radiology and medical imaging. The effect of introducing AI will be at least a more accurate and quick interpretation of images, implemented through a set of decision-making tools for medical specialists.

KW - artificial intelligence

KW - MR-Tomograms

KW - MRI

KW - neurooncology

KW - neurosurgery

UR - http://www.scopus.com/inward/record.url?scp=85079078632&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=43251861

UR - https://www.mendeley.com/catalogue/352c040a-aa9b-3be0-924a-51739d8eaff7/

U2 - 10.1109/SIBIRCON48586.2019.8958201

DO - 10.1109/SIBIRCON48586.2019.8958201

M3 - Conference contribution

AN - SCOPUS:85079078632

SN - 978-1-7281-4402-3

T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

SP - 336

EP - 337

BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019

Y2 - 21 October 2019 through 27 October 2019

ER -

ID: 24722726