Artificial Intelligence for Imaging Data Analysis in Materials Science: Microscopy and Behind
Научная публикация
| Общая информация |
Язык:
Английский,
Жанр:
Статья (Full article),
Статус опубликования:
Опубликована,
Оригинальность:
Оригинальная
|
| 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
|
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.