Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma <i>via</i> Raman spectroscopy and a deep learning algorithm

Raman spectroscopy revealed significantly different waveforms for the different stages of esophageal neoplasia. The combination of Raman spectroscopy and deep learning methods could significantly improve the accuracy of classification.

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Publication Details

Journal
World Journal of Gastroenterology
Published
2025-04-09
DOI
https://doi.org/10.3748/wjg.v31.i14.104280
Citations
1
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
1.63
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article

Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma via Raman spectroscopy and a deep learning algorithm

Xinying Yu, F H Chen, Lianyu Li, Jian Chen et al.
1 citations
World Journal of Gastroenterology
Spectroscopy Techniques in Biomedical and Chemical Research
1.63
article

Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma via Raman spectroscopy and a deep learning algorithm

Xinying Yu, F H Chen, Lianyu Li, Jian Chen, Qiang He
article en
1 citations

Abstract

Raman spectroscopy revealed significantly different waveforms for the different stages of esophageal neoplasia. The combination of Raman spectroscopy and deep learning methods could significantly improve the accuracy of classification.

World Journal of GastroenterologyVol. 31(14)
Huazhong Agricultural University (CN), Beijing Tian Tan Hospital (CN), Zoucheng People's Hospital (CN), Huazhong University of Science and Technology Hospital (CN), Huazhong University of Science and Technology (CN), Tsinghua University (CN)
Openalex Percentile: Top 15%
Spectroscopy Techniques in Biomedical and Chemical Research
1.63
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Rapid pathologic grading-based diagnosis of esophageal squamous cell carcinoma <i>via</i> Raman spectroscopy and a deep learning algorithm — Xinying Yu, F H Chen, et al. · World Journal of Gastroenterology (2025) | TGRS Research Map | TGRS