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Research Progress in Tumor Diagnosis Based on Raman Spectroscopy.
Wang, Zhichao; Shi, Huanghao; Zhou, Litao; Yin, Jian; Yin, Huancai; Xie, Liangxu; Chang, Shan.
Afiliación
  • Wang Z; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China.
  • Shi H; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China.
  • Zhou L; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China.
  • Yin J; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, 88 Keling Road, Suzhou, Jiangsu 215163, PR China.
  • Yin H; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, 88 Keling Road, Suzhou, Jiangsu 215163, PR China.
  • Xie L; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China.
  • Chang S; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Curr Med Imaging ; 2024 Feb 07.
Article en En | MEDLINE | ID: mdl-38333978
ABSTRACT

BACKGROUND:

Cancer is a major disease that threatens human life and health. Raman spectroscopy can provide an effective detection method.

OBJECTIVE:

The study aimed to introduce the application of Raman spectroscopy to tumor detection. We have introduced the current mainstream Raman spectroscopy technology and related application research.

METHODS:

This article has first introduced the grim situation of malignant tumors in the world. The advantages of tumor diagnosis based on Raman spectroscopy have also been analyzed. Secondly, various Raman spectroscopy techniques applied in the medical field are introduced. Several studies on the application of Raman spectroscopy to tumors in different parts of the human body are discussed. Then the advantages of combining deep learning with Raman spectroscopy in the diagnosis of tumors are discussed. Finally, the related problems of tumor diagnosis methods based on Raman spectroscopy are pointed out. This may provide useful clues for future work.

CONCLUSION:

Raman spectroscopy can be an effective method for diagnosing tumors. Moreover, Raman spectroscopy diagnosis combined with deep learning can provide more convenient and accurate detection results.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Curr Med Imaging Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Emiratos Árabes Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Curr Med Imaging Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Emiratos Árabes Unidos