Recognition of Diffuse Hepatic Steatosis

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 tho...

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Main Authors: Danil Yevdokimov, Viacheslav Gorikhovskii
Format: Article
Language:English
Published: FRUCT 2023-05-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://www.fruct.org/publications/volume-33/fruct33/files/Yev.pdf
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author Danil Yevdokimov
Viacheslav Gorikhovskii
author_facet Danil Yevdokimov
Viacheslav Gorikhovskii
author_sort Danil Yevdokimov
collection DOAJ
description 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 CT scans.
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spelling doaj.art-f18359d7d4cf42a4b47d3c6e8e3dd6672023-06-09T11:41:51ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372023-05-0133131832410.23919/FRUCT58615.2023.10143062Recognition of Diffuse Hepatic SteatosisDanil Yevdokimov0Viacheslav Gorikhovskii1Saint Petersburg State UniversitySaint Petersburg State Universitypractice, 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 CT scans.https://www.fruct.org/publications/volume-33/fruct33/files/Yev.pdfhepatic steatosis triglycerides computed tomography liver parenchyma regression recognition the most powerful criterion fuzzy criterion hounsfield scale hounsfield unit automatic diagnostics
spellingShingle Danil Yevdokimov
Viacheslav Gorikhovskii
Recognition of Diffuse Hepatic Steatosis
Proceedings of the XXth Conference of Open Innovations Association FRUCT
hepatic steatosis triglycerides computed tomography liver parenchyma regression recognition the most powerful criterion fuzzy criterion hounsfield scale hounsfield unit automatic diagnostics
title Recognition of Diffuse Hepatic Steatosis
title_full Recognition of Diffuse Hepatic Steatosis
title_fullStr Recognition of Diffuse Hepatic Steatosis
title_full_unstemmed Recognition of Diffuse Hepatic Steatosis
title_short Recognition of Diffuse Hepatic Steatosis
title_sort recognition of diffuse hepatic steatosis
topic hepatic steatosis triglycerides computed tomography liver parenchyma regression recognition the most powerful criterion fuzzy criterion hounsfield scale hounsfield unit automatic diagnostics
url https://www.fruct.org/publications/volume-33/fruct33/files/Yev.pdf
work_keys_str_mv AT danilyevdokimov recognitionofdiffusehepaticsteatosis
AT viacheslavgorikhovskii recognitionofdiffusehepaticsteatosis