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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595020/ https://www.ncbi.nlm.nih.gov/pubmed/34795887 http://dx.doi.org/10.1155/2021/8619251 |
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author | Wang, Xiaoli Yang, Mei |
author_facet | Wang, Xiaoli Yang, Mei |
author_sort | Wang, Xiaoli |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8595020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-85950202021-11-17 The Application of Ultrasound Image in Cancer Diagnosis Wang, Xiaoli Yang, Mei J Healthc Eng Research Article 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. Hindawi 2021-11-09 /pmc/articles/PMC8595020/ /pubmed/34795887 http://dx.doi.org/10.1155/2021/8619251 Text en Copyright © 2021 Xiaoli Wang and Mei Yang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Xiaoli Yang, Mei The Application of Ultrasound Image in Cancer Diagnosis |
title | 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_short | The Application of Ultrasound Image in Cancer Diagnosis |
title_sort | application of ultrasound image in cancer diagnosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595020/ https://www.ncbi.nlm.nih.gov/pubmed/34795887 http://dx.doi.org/10.1155/2021/8619251 |
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