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Bibliometric analysis of the current status and trends on medical hyperspectral imaging
Hyperspectral imaging (HSI) is a promising technology that can provide valuable support for the advancement of the medical field. Bibliometrics can analyze a vast number of publications on both macroscopic and microscopic levels, providing scholars with essential foundations to shape future directio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545955/ https://www.ncbi.nlm.nih.gov/pubmed/37795419 http://dx.doi.org/10.3389/fmed.2023.1235955 |
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author | Jiang, Sijia Ma, Ding Tan, Xin Yang, Mingyu Jiao, Qingbin Xu, Liang |
author_facet | Jiang, Sijia Ma, Ding Tan, Xin Yang, Mingyu Jiao, Qingbin Xu, Liang |
author_sort | Jiang, Sijia |
collection | PubMed |
description | Hyperspectral imaging (HSI) is a promising technology that can provide valuable support for the advancement of the medical field. Bibliometrics can analyze a vast number of publications on both macroscopic and microscopic levels, providing scholars with essential foundations to shape future directions. The purpose of this study is to comprehensively review the existing literature on medical hyperspectral imaging (MHSI). Based on the Web of Science (WOS) database, this study systematically combs through literature using bibliometric methods and visualization software such as VOSviewer and CiteSpace to draw scientific conclusions. The analysis yielded 2,274 articles from 73 countries/regions, involving 7,401 authors, 2,037 institutions, 1,038 journals/conferences, and a total of 7,522 keywords. The field of MHSI is currently in a positive stage of development and has conducted extensive research worldwide. This research encompasses not only HSI technology but also its application to diverse medical research subjects, such as skin, cancer, tumors, etc., covering a wide range of hardware constructions and software algorithms. In addition to advancements in hardware, the future should focus on the development of algorithm standards for specific medical research targets and cultivate medical professionals of managing vast amounts of technical information. |
format | Online Article Text |
id | pubmed-10545955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105459552023-10-04 Bibliometric analysis of the current status and trends on medical hyperspectral imaging Jiang, Sijia Ma, Ding Tan, Xin Yang, Mingyu Jiao, Qingbin Xu, Liang Front Med (Lausanne) Medicine Hyperspectral imaging (HSI) is a promising technology that can provide valuable support for the advancement of the medical field. Bibliometrics can analyze a vast number of publications on both macroscopic and microscopic levels, providing scholars with essential foundations to shape future directions. The purpose of this study is to comprehensively review the existing literature on medical hyperspectral imaging (MHSI). Based on the Web of Science (WOS) database, this study systematically combs through literature using bibliometric methods and visualization software such as VOSviewer and CiteSpace to draw scientific conclusions. The analysis yielded 2,274 articles from 73 countries/regions, involving 7,401 authors, 2,037 institutions, 1,038 journals/conferences, and a total of 7,522 keywords. The field of MHSI is currently in a positive stage of development and has conducted extensive research worldwide. This research encompasses not only HSI technology but also its application to diverse medical research subjects, such as skin, cancer, tumors, etc., covering a wide range of hardware constructions and software algorithms. In addition to advancements in hardware, the future should focus on the development of algorithm standards for specific medical research targets and cultivate medical professionals of managing vast amounts of technical information. Frontiers Media S.A. 2023-09-19 /pmc/articles/PMC10545955/ /pubmed/37795419 http://dx.doi.org/10.3389/fmed.2023.1235955 Text en Copyright © 2023 Jiang, Ma, Tan, Yang, Jiao and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Jiang, Sijia Ma, Ding Tan, Xin Yang, Mingyu Jiao, Qingbin Xu, Liang Bibliometric analysis of the current status and trends on medical hyperspectral imaging |
title | Bibliometric analysis of the current status and trends on medical hyperspectral imaging |
title_full | Bibliometric analysis of the current status and trends on medical hyperspectral imaging |
title_fullStr | Bibliometric analysis of the current status and trends on medical hyperspectral imaging |
title_full_unstemmed | Bibliometric analysis of the current status and trends on medical hyperspectral imaging |
title_short | Bibliometric analysis of the current status and trends on medical hyperspectral imaging |
title_sort | bibliometric analysis of the current status and trends on medical hyperspectral imaging |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545955/ https://www.ncbi.nlm.nih.gov/pubmed/37795419 http://dx.doi.org/10.3389/fmed.2023.1235955 |
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