Title:Research Progress in Tumor Diagnosis Based on Raman Spectroscopy
Volume: 20
Author(s): Zhichao Wang, Huanghao Shi, Litao Zhou, Jian Yin, Huancai Yin, Liangxu Xie*Shan Chang*
Affiliation:
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology,
Changzhou 213001, China
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology,
Changzhou 213001, China
Keywords:
Raman spectroscopy, Tumor, Tumor diagnosis, Medical diagnosis, Peak position, Deep learning.
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.
