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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...

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Detalles Bibliográficos
Autores principales: Manivannan, T, Ayyappan, Nagarajan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2020
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.
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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
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