Artificial Intelligence for Imaging Data Analysis in Materials Science: Microscopy and Behind | Sciact - CRIS-система Института катализа

Artificial Intelligence for Imaging Data Analysis in Materials Science: Microscopy and Behind Научная публикация

Конференция

MIP: Engineering-III 2021: Modernization, Innovations, Progress: Advanced Technologies in Material Science, Mechanical and Automation Engineering
29-30 апр. 2021 , Krasnoyarsk

Журнал

IOP Conference Series - Materials Science and Engineering
ISSN: 1757-8981

Вых. Данные

Год: 2021, Том: 1155, Номер: 1, Номер статьи : 012015, Страниц : 5 DOI: 10.1088/1757-899x/1155/1/012015

Авторы

Okunev A.G. ^1,2 , Mashukov M.Yu. ¹ , Sankova N.N. ^1,2 , Nartova A.V. ^1,2 , Matveev A.V. ¹

Организации

1	Novosibirsk State University, Pirogova str., 1, Novosibirsk, 630090, Russia
2	Boreskov Institute of Catalysis SB RAS, pr. Ac. Lavrentieva, 5, Novosibirsk, 630090, Russia

Информация о финансировании (2)

1	Министерство образования и науки Российской Федерации
2	Министерство науки и высшего образования Российской Федерации (с 15 мая 2018)	0239-2021-0002

In various fields of microscopy, a fairly common task is to count and determine the size of the studied objects. Sometimes this is a one-time tedious task that is done by lab personnel without the programming skills. In this paper, we present an approach that allows researchers to perform automated processing of research imaging data using our services and even to train deep neural networks on their own in no code mode.

Okunev A.G. , Mashukov M.Y. , Sankova N.N. , Nartova A.V. , Matveev A.V.
Artificial Intelligence for Imaging Data Analysis in Materials Science: Microscopy and Behind
IOP Conference Series - Materials Science and Engineering. 2021. V.1155. N1. 012015 :1-5. DOI: 10.1088/1757-899x/1155/1/012015 РИНЦ OpenAlex

Поступила в редакцию:	25 мая 2021 г.
Опубликована online:	9 июн. 2021 г.

РИНЦ:	46302691
OpenAlex:	W3167968420

БД	Цитирований
РИНЦ	6
OpenAlex	9