The Application of Ultrasound Image in Cancer Diagnosis

In order to solve the problem of low accuracy, high cost, and difficult detection of traditional algorithms, a new algorithm based on ultrasound imaging is proposed in this paper. The algorithm is based on fuzzy clustering to diagnose the disease and effectively improve the accuracy of the algorithm...

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Autores principales: Xiaoli Wang, Mei Yang
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/c3bb12101b564efbaacf447240bc87ad
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spelling oai:doaj.org-article:c3bb12101b564efbaacf447240bc87ad2021-11-22T01:11:42ZThe Application of Ultrasound Image in Cancer Diagnosis2040-230910.1155/2021/8619251https://doaj.org/article/c3bb12101b564efbaacf447240bc87ad2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8619251https://doaj.org/toc/2040-2309In order to solve the problem of low accuracy, high cost, and difficult detection of traditional algorithms, a new algorithm based on ultrasound imaging is proposed in this paper. The algorithm is based on fuzzy clustering to diagnose the disease and effectively improve the accuracy of the algorithm. By testing the actual scene, it effectively proves the effectiveness and accuracy of the algorithm, which can find and treat diseases in time and can be widely used and popularized in clinical research in China.Xiaoli WangMei YangHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine (General)
R5-920
Medical technology
R855-855.5
spellingShingle Medicine (General)
R5-920
Medical technology
R855-855.5
Xiaoli Wang
Mei Yang
The Application of Ultrasound Image in Cancer Diagnosis
description In order to solve the problem of low accuracy, high cost, and difficult detection of traditional algorithms, a new algorithm based on ultrasound imaging is proposed in this paper. The algorithm is based on fuzzy clustering to diagnose the disease and effectively improve the accuracy of the algorithm. By testing the actual scene, it effectively proves the effectiveness and accuracy of the algorithm, which can find and treat diseases in time and can be widely used and popularized in clinical research in China.
format article
author Xiaoli Wang
Mei Yang
author_facet Xiaoli Wang
Mei Yang
author_sort Xiaoli Wang
title The Application of Ultrasound Image in Cancer Diagnosis
title_short The Application of Ultrasound Image in Cancer Diagnosis
title_full The Application of Ultrasound Image in Cancer Diagnosis
title_fullStr The Application of Ultrasound Image in Cancer Diagnosis
title_full_unstemmed The Application of Ultrasound Image in Cancer Diagnosis
title_sort application of ultrasound image in cancer diagnosis
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/c3bb12101b564efbaacf447240bc87ad
work_keys_str_mv AT xiaoliwang theapplicationofultrasoundimageincancerdiagnosis
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