Standard

MIRF 2.0 - A framework for distributed medical images analysis. / Литвинов, Юрий Викторович; Швыркова, Александра Алексеевна; Фефелов, Алексей Андреевич; Чижова, Ангелина; Пономарев, Егор Викторович; Ломакин, Александр Владимирович; Савельев, Александр Геннадьевич.

CEUR Workshop Proceedings. Vol. 2691 2020.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Литвинов, ЮВ, Швыркова, АА, Фефелов, АА, Чижова, А, Пономарев, ЕВ, Ломакин, АВ & Савельев, АГ 2020, MIRF 2.0 - A framework for distributed medical images analysis. in CEUR Workshop Proceedings. vol. 2691. <http://ceur-ws.org/Vol-2691/paper61.pdf>

APA

Литвинов, Ю. В., Швыркова, А. А., Фефелов, А. А., Чижова, А., Пономарев, Е. В., Ломакин, А. В., & Савельев, А. Г. (2020). MIRF 2.0 - A framework for distributed medical images analysis. In CEUR Workshop Proceedings (Vol. 2691) http://ceur-ws.org/Vol-2691/paper61.pdf

Vancouver

Литвинов ЮВ, Швыркова АА, Фефелов АА, Чижова А, Пономарев ЕВ, Ломакин АВ et al. MIRF 2.0 - A framework for distributed medical images analysis. In CEUR Workshop Proceedings. Vol. 2691. 2020

Author

Литвинов, Юрий Викторович ; Швыркова, Александра Алексеевна ; Фефелов, Алексей Андреевич ; Чижова, Ангелина ; Пономарев, Егор Викторович ; Ломакин, Александр Владимирович ; Савельев, Александр Геннадьевич. / MIRF 2.0 - A framework for distributed medical images analysis. CEUR Workshop Proceedings. Vol. 2691 2020.

BibTeX

@inproceedings{24046005585b4b67803e653ac9e110e5,
title = "MIRF 2.0 - A framework for distributed medical images analysis",
abstract = "MIRF is an open-source library for a convenient creation of applications which process medical data. Architectural style of that library is Pipes and Filters which means that components that process and transform data are connected together in the pipeline. In this paper we describe a new version of the library based on microservice architecture where services are deployed and maintained independently. This could solve a problem with a lack of computational resources needed for image processing. Some new applications of MIRF library are also presented, namely ECG arrhythmias diagnostics and intracranial hemorrhage detection. Implementation of the ECG processing in MIRF was especially interesting due to the fact that ECG is a signal, not an image. Detailed description of ECG processing tool and results of our experiments are also presented.",
keywords = "medical images, microservices, electrocardiogram, convolutional neural network",
author = "Литвинов, {Юрий Викторович} and Швыркова, {Александра Алексеевна} and Фефелов, {Алексей Андреевич} and Ангелина Чижова and Пономарев, {Егор Викторович} and Ломакин, {Александр Владимирович} and Савельев, {Александр Геннадьевич}",
year = "2020",
language = "English",
volume = "2691",
booktitle = "CEUR Workshop Proceedings",

}

RIS

TY - GEN

T1 - MIRF 2.0 - A framework for distributed medical images analysis

AU - Литвинов, Юрий Викторович

AU - Швыркова, Александра Алексеевна

AU - Фефелов, Алексей Андреевич

AU - Чижова, Ангелина

AU - Пономарев, Егор Викторович

AU - Ломакин, Александр Владимирович

AU - Савельев, Александр Геннадьевич

PY - 2020

Y1 - 2020

N2 - MIRF is an open-source library for a convenient creation of applications which process medical data. Architectural style of that library is Pipes and Filters which means that components that process and transform data are connected together in the pipeline. In this paper we describe a new version of the library based on microservice architecture where services are deployed and maintained independently. This could solve a problem with a lack of computational resources needed for image processing. Some new applications of MIRF library are also presented, namely ECG arrhythmias diagnostics and intracranial hemorrhage detection. Implementation of the ECG processing in MIRF was especially interesting due to the fact that ECG is a signal, not an image. Detailed description of ECG processing tool and results of our experiments are also presented.

AB - MIRF is an open-source library for a convenient creation of applications which process medical data. Architectural style of that library is Pipes and Filters which means that components that process and transform data are connected together in the pipeline. In this paper we describe a new version of the library based on microservice architecture where services are deployed and maintained independently. This could solve a problem with a lack of computational resources needed for image processing. Some new applications of MIRF library are also presented, namely ECG arrhythmias diagnostics and intracranial hemorrhage detection. Implementation of the ECG processing in MIRF was especially interesting due to the fact that ECG is a signal, not an image. Detailed description of ECG processing tool and results of our experiments are also presented.

KW - medical images

KW - microservices

KW - electrocardiogram

KW - convolutional neural network

UR - http://www.scopus.com/inward/record.url?scp=85092510836&partnerID=8YFLogxK

M3 - Conference contribution

VL - 2691

BT - CEUR Workshop Proceedings

ER -

ID: 71016320