Research Progress in Tumor Diagnosis Based on Raman Spectroscopy

Area of Science:

• Biomedical optics
• Medical diagnostics
• Spectroscopic analysis

Background:

• Cancer poses a significant global health threat.
• Raman spectroscopy presents a promising detection modality for various cancers.

Purpose of the Study:

• To review the application of Raman spectroscopy in tumor detection.
• To highlight current Raman spectroscopy technologies and their research applications in oncology.

Main Methods:

• Analysis of the global burden of malignant tumors.
• Evaluation of advantages of Raman spectroscopy for tumor diagnosis.
• Introduction to diverse Raman spectroscopy techniques in medicine.
• Discussion of studies applying Raman spectroscopy to human tumors.
• Exploration of deep learning integration with Raman spectroscopy for enhanced tumor diagnosis.
• Identification of challenges in Raman spectroscopy-based tumor detection.

Main Results:

• Raman spectroscopy demonstrates efficacy in diagnosing tumors.
• Integration with deep learning improves convenience and accuracy in tumor detection.

Conclusions:

• Raman spectroscopy is a viable tool for effective tumor diagnosis.
• The synergy of Raman spectroscopy and deep learning offers superior diagnostic outcomes.