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Recognition of Diffuse Hepatic Steatosis. / Гориховский, Вячеслав Игоревич; Евдокимов, Данил.

Proceedings of the XXth Conference of Open Innovations. 2023. p. 318-324 (Conference of Open Innovations Association FRUCT).

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

Harvard

Гориховский, ВИ & Евдокимов, Д 2023, Recognition of Diffuse Hepatic Steatosis. in Proceedings of the XXth Conference of Open Innovations. Conference of Open Innovations Association FRUCT, pp. 318-324, The 33rd Conference of the Open Innovations Association FRUCT, Жилина, Slovakia, 24/05/23. https://doi.org/10.23919/fruct58615.2023.10143062

APA

Гориховский, В. И., & Евдокимов, Д. (2023). Recognition of Diffuse Hepatic Steatosis. In Proceedings of the XXth Conference of Open Innovations (pp. 318-324). (Conference of Open Innovations Association FRUCT). https://doi.org/10.23919/fruct58615.2023.10143062

Vancouver

Гориховский ВИ, Евдокимов Д. Recognition of Diffuse Hepatic Steatosis. In Proceedings of the XXth Conference of Open Innovations. 2023. p. 318-324. (Conference of Open Innovations Association FRUCT). https://doi.org/10.23919/fruct58615.2023.10143062

Author

Гориховский, Вячеслав Игоревич ; Евдокимов, Данил. / Recognition of Diffuse Hepatic Steatosis. Proceedings of the XXth Conference of Open Innovations. 2023. pp. 318-324 (Conference of Open Innovations Association FRUCT).

BibTeX

@inproceedings{3f00b7eb40b443a9ade7496a3824c37b,
title = "Recognition of Diffuse Hepatic Steatosis",
abstract = "Since the COVID-19 pandemic, chest computed tomography has become a common practice, with the liver and spleen being studied in addition to the lungs and heart. Unfortunately, radiologists often do not have the time to assess the density of the liver's structure, as their attention is primarily on the chest organs such as the lungs, heart, and blood vessels in the thorax. To address this issue, a solution could be the development of a tool that uses machine learning technologies and statistical methods to identify organs and their relationships to diagnose diffuse hepatic steatosis on chest computed tomography scans. Based on an open dataset, various methods of statistical and regression analysis were used, and diagnostic tests were obtained with more than 95% accuracy.",
author = "Гориховский, {Вячеслав Игоревич} and Данил Евдокимов",
year = "2023",
month = may,
day = "24",
doi = "10.23919/fruct58615.2023.10143062",
language = "English",
isbn = "979-8-3503-0099-4",
series = "Conference of Open Innovations Association FRUCT",
pages = "318--324",
booktitle = "Proceedings of the XXth Conference of Open Innovations",
note = "null ; Conference date: 24-05-2023 Through 26-05-2023",
url = "https://fruct.org/conferences/33/",

}

RIS

TY - GEN

T1 - Recognition of Diffuse Hepatic Steatosis

AU - Гориховский, Вячеслав Игоревич

AU - Евдокимов, Данил

N1 - Conference code: 33

PY - 2023/5/24

Y1 - 2023/5/24

N2 - Since the COVID-19 pandemic, chest computed tomography has become a common practice, with the liver and spleen being studied in addition to the lungs and heart. Unfortunately, radiologists often do not have the time to assess the density of the liver's structure, as their attention is primarily on the chest organs such as the lungs, heart, and blood vessels in the thorax. To address this issue, a solution could be the development of a tool that uses machine learning technologies and statistical methods to identify organs and their relationships to diagnose diffuse hepatic steatosis on chest computed tomography scans. Based on an open dataset, various methods of statistical and regression analysis were used, and diagnostic tests were obtained with more than 95% accuracy.

AB - Since the COVID-19 pandemic, chest computed tomography has become a common practice, with the liver and spleen being studied in addition to the lungs and heart. Unfortunately, radiologists often do not have the time to assess the density of the liver's structure, as their attention is primarily on the chest organs such as the lungs, heart, and blood vessels in the thorax. To address this issue, a solution could be the development of a tool that uses machine learning technologies and statistical methods to identify organs and their relationships to diagnose diffuse hepatic steatosis on chest computed tomography scans. Based on an open dataset, various methods of statistical and regression analysis were used, and diagnostic tests were obtained with more than 95% accuracy.

UR - https://www.mendeley.com/catalogue/7aaef6d5-5850-34a9-ab51-e4aff205c574/

U2 - 10.23919/fruct58615.2023.10143062

DO - 10.23919/fruct58615.2023.10143062

M3 - Conference contribution

SN - 979-8-3503-0099-4

T3 - Conference of Open Innovations Association FRUCT

SP - 318

EP - 324

BT - Proceedings of the XXth Conference of Open Innovations

Y2 - 24 May 2023 through 26 May 2023

ER -

ID: 106416451