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Classification of thyroid nodules using ultrasound images
Medical imaging using image sensors play an essential role in effective diagnosis. Therefore, it is of interest to use medical imaging techniques for the diagnosis of thyroid-linked dysfunction. Ultrasound is the low-cost image processing technique to study internal organs and blood flow in blood ve...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7196169/ https://www.ncbi.nlm.nih.gov/pubmed/32405165 http://dx.doi.org/10.6026/97320630016145 |
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author | Manivannan, T Ayyappan, Nagarajan |
author_facet | Manivannan, T Ayyappan, Nagarajan |
author_sort | Manivannan, T |
collection | PubMed |
description | Medical imaging using image sensors play an essential role in effective diagnosis. Therefore, it is of interest to use medical imaging techniques for the diagnosis of thyroid-linked dysfunction. Ultrasound is the low-cost image processing technique to study internal organs and blood flow in blood vessels. Digital processed images help to distinguish between normal, benign and malignant tissue stages in organs.Hence, it is of importance to discuss the design and development of a computer-aided image-processing model for thyroid nodule identification, classification and diagnosis. |
format | Online Article Text |
id | pubmed-7196169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-71961692020-05-13 Classification of thyroid nodules using ultrasound images Manivannan, T Ayyappan, Nagarajan Bioinformation Research-Article Medical imaging using image sensors play an essential role in effective diagnosis. Therefore, it is of interest to use medical imaging techniques for the diagnosis of thyroid-linked dysfunction. Ultrasound is the low-cost image processing technique to study internal organs and blood flow in blood vessels. Digital processed images help to distinguish between normal, benign and malignant tissue stages in organs.Hence, it is of importance to discuss the design and development of a computer-aided image-processing model for thyroid nodule identification, classification and diagnosis. Biomedical Informatics 2020-02-29 /pmc/articles/PMC7196169/ /pubmed/32405165 http://dx.doi.org/10.6026/97320630016145 Text en © 2020 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Research-Article Manivannan, T Ayyappan, Nagarajan Classification of thyroid nodules using ultrasound images |
title | Classification of thyroid nodules using ultrasound images |
title_full | Classification of thyroid nodules using ultrasound images |
title_fullStr | Classification of thyroid nodules using ultrasound images |
title_full_unstemmed | Classification of thyroid nodules using ultrasound images |
title_short | Classification of thyroid nodules using ultrasound images |
title_sort | classification of thyroid nodules using ultrasound images |
topic | Research-Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7196169/ https://www.ncbi.nlm.nih.gov/pubmed/32405165 http://dx.doi.org/10.6026/97320630016145 |
work_keys_str_mv | AT manivannant classificationofthyroidnodulesusingultrasoundimages AT ayyappannagarajan classificationofthyroidnodulesusingultrasoundimages |