Язык оригиналаАнглийский
Название основной публикацииProceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы76-78
Число страниц3
ISBN (электронное издание)9781538649466
DOI
СостояниеОпубликовано - 13 июн 2018
Событие2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018 - Yekaterinburg, Российская Федерация
Продолжительность: 6 мая 20188 мая 2018

Конференция

Конференция2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018
СтранаРоссийская Федерация
ГородYekaterinburg
Период06/05/201808/05/2018

Отпечаток

echocardiography
Echocardiography
Ultrasound Image
Left Ventricle
borders
Ultrasonics
Neural Networks
Neural networks
Segmentation
cardiology
Cardiology
ejection
health
image processing
Image processing
estimating
Ultrasound
Health
Image Processing
Motion

Ключевые слова

    Предметные области ASJC Scopus

    • Information Systems
    • Biomedical Engineering
    • Computer Networks and Communications
    • Computer Science Applications
    • Modelling and Simulation
    • Instrumentation
    • Electrical and Electronic Engineering
    • Control and Optimization

    Цитировать

    Zyuzin, V., Sergey, P., Mukhtarov, A., Chumarnaya, T., Solovyova, O., Bobkova, A., & Myasnikov, V. (2018). Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. В Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018 (стр. 76-78). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USBEREIT.2018.8384554
    Zyuzin, Vasily ; Sergey, Porshnev ; Mukhtarov, Andrey ; Chumarnaya, Tatyana ; Solovyova, Olga ; Bobkova, Anastasia ; Myasnikov, Vladislav. / Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. стр. 76-78
    @inproceedings{3b21dbb871214a26bc999d80c81c7cca,
    title = "Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet",
    keywords = "deep learning, left ventricle, segmentation, ultrasound images, Unet",
    author = "Vasily Zyuzin and Porshnev Sergey and Andrey Mukhtarov and Tatyana Chumarnaya and Olga Solovyova and Anastasia Bobkova and Vladislav Myasnikov",
    year = "2018",
    month = "6",
    day = "13",
    doi = "10.1109/USBEREIT.2018.8384554",
    language = "English",
    pages = "76--78",
    booktitle = "Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    address = "United States",

    }

    Zyuzin, V, Sergey, P, Mukhtarov, A, Chumarnaya, T, Solovyova, O, Bobkova, A & Myasnikov, V 2018, Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. в Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., стр. 76-78, 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018, Yekaterinburg, Российская Федерация, 06/05/2018. https://doi.org/10.1109/USBEREIT.2018.8384554

    Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. / Zyuzin, Vasily; Sergey, Porshnev; Mukhtarov, Andrey; Chumarnaya, Tatyana; Solovyova, Olga; Bobkova, Anastasia; Myasnikov, Vladislav.

    Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. стр. 76-78.

    Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

    TY - GEN

    T1 - Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet

    AU - Zyuzin, Vasily

    AU - Sergey, Porshnev

    AU - Mukhtarov, Andrey

    AU - Chumarnaya, Tatyana

    AU - Solovyova, Olga

    AU - Bobkova, Anastasia

    AU - Myasnikov, Vladislav

    PY - 2018/6/13

    Y1 - 2018/6/13

    KW - deep learning

    KW - left ventricle

    KW - segmentation

    KW - ultrasound images

    KW - Unet

    UR - http://www.scopus.com/inward/record.url?scp=85049891026&partnerID=8YFLogxK

    U2 - 10.1109/USBEREIT.2018.8384554

    DO - 10.1109/USBEREIT.2018.8384554

    M3 - Conference contribution

    SP - 76

    EP - 78

    BT - Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018

    PB - Institute of Electrical and Electronics Engineers Inc.

    ER -

    Zyuzin V, Sergey P, Mukhtarov A, Chumarnaya T, Solovyova O, Bobkova A и соавт. Identification of the left ventricle endocardial border on two-dimensional ultrasound images using the convolutional neural network Unet. В Proceedings - 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. стр. 76-78 https://doi.org/10.1109/USBEREIT.2018.8384554