Binary Brain Tumor Classification With Semantic Features Using Convolutional Neural Network › Research Explorer

DOI

https://doi.org/10.1109/USBEREIT56278.2022.9923403
Final published version

Минь Шао Кхуэ Лыу
Evgeny Pavlovskiy

Original language	English
Title of host publication	Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022
Subtitle of host publication	2022 USBEREIT
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	44-47
Number of pages	4
ISBN (Electronic)	978-1-6654-6092-7
ISBN (Print)	9781665460927
DOIs	https://doi.org/10.1109/USBEREIT56278.2022.9923403
Publication status	Published - 25 Oct 2022
Event	2022 Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) - IRIT-RTF UrFU, Ekaterinburg, Russian Federation Duration: 19 Sept 2022 → 21 Sept 2022 Conference number: 5 https://usbereit.ieeesiberia.org/

Publication series

Name	Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022

Conference

Conference	2022 Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)
Abbreviated title	USBEREIT
Country/Territory	Russian Federation
City	Ekaterinburg
Period	19.09.2022 → 21.09.2022
Internet address	https://usbereit.ieeesiberia.org/

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES

Research areas

brain tumor classification, deep learning, biomedical images processing, convolutional neural networks

ID: 38664781