@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",
}