Using Computer Vision and Deep Learning for HeLa Cell Recognition Тезисы доклада
Конференция |
2020 Science and Artificial Intelligence Conference 14-15 нояб. 2020 , Novosibirsk |
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Сборник | 2020 Science and Artificial Intelligence conference (S.A.I.ence) : Proceedings of International virtual conference with A.I.-enabled reproducible scientific results with technical sponsorship from IEEE,14–15 November 2020, Novosibirsk, Russia Сборник, Novosibirsk State University. Novosibirsk.2020. |
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Вых. Данные | Год: 2020, Номер статьи : 9303201, Страниц : 4 DOI: 10.1109/S.A.I.ence50533.2020.9303201 | ||||||
Ключевые слова | cell recognition; deep neural networks; HeLa cells; microscopy | ||||||
Авторы |
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Организации |
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Информация о финансировании (3)
1 | Министерство науки и высшего образования Российской Федерации | ГЗ-2017-2020 |
2 | Министерство образования и науки Российской Федерации | |
3 | Министерство науки и высшего образования Российской Федерации | 2019-0546 (FSUS-2020-0040) |
Реферат:
The task of the objects identification, counting, and measurement is a huge part of scientific investigations and technological applications. Automated methods using traditional processing such as segmentation, edge detection, and so on represented by available software (e.g. CellProfiler) are not flexible, can be used only with images of high-quality, and in addition require setting a part of parameters by hand. This contribution presents the applying the deep learning method for recognition of HeLa cells expressing green fluorescent protein (EGFP) automatically. We used Cascade Mask R-CNN neural networks which has a ResNeXt backbone and deformable convolutional networks layers. Training dataset contained seven pictures with 5754 labeled cells. Three images with 2469 labeled cells were used as test-dataset. The trained neural network showed mAP=0.4. © 2020 IEEE.
Библиографическая ссылка:
Kudinov V.Y.
, Mashukov M.Y.
, Maslova E.A.
, Orishchenko K.E.
, Okunev A.G.
, Matveev A.V.
Using Computer Vision and Deep Learning for HeLa Cell Recognition
В сборнике 2020 Science and Artificial Intelligence conference (S.A.I.ence) : Proceedings of International virtual conference with A.I.-enabled reproducible scientific results with technical sponsorship from IEEE,14–15 November 2020, Novosibirsk, Russia. – Novosibirsk State University., 2020. – C.17-20. DOI: 10.1109/S.A.I.ence50533.2020.9303201 Scopus
Using Computer Vision and Deep Learning for HeLa Cell Recognition
В сборнике 2020 Science and Artificial Intelligence conference (S.A.I.ence) : Proceedings of International virtual conference with A.I.-enabled reproducible scientific results with technical sponsorship from IEEE,14–15 November 2020, Novosibirsk, Russia. – Novosibirsk State University., 2020. – C.17-20. DOI: 10.1109/S.A.I.ence50533.2020.9303201 Scopus
Даты:
Опубликована в печати: | 14 нояб. 2020 г. |
Идентификаторы БД:
Scopus | 2-s2.0-85099530689 |
OpenAlex | W3114997388 |