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5 November 2020 Diagnosis of hepatocellular carcinoma by FTIR spectroscopy combined with classification tree
Gangqiang Cui, Wenyu Peng, Yansheng Liu
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Proceedings Volume 11566, AOPC 2020: Optical Spectroscopy and Imaging; and Biomedical Optics; 115660K (2020) https://doi.org/10.1117/12.2579999
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
Hepatocellular carcinoma is a serious threat to human health and life, so early diagnosis of hepatocellular carcinoma is particularly important. A new method based on FTIR spectroscopy and classification tree is proposed in this paper to develop a rapid and accurate diagnosis method for hepatocellular carcinoma. FTIR spectroscopy was firstly used to compare the spectra of hepatocellular carcinoma and normal tissues. The spectra of hepatocellular carcinoma and normal tissues have showed remarkable differences, which implied that the structure and compositions of hepatocellular carcinoma tissues have changed compared with those of normal tissues. 12 peak locations from both hepatocellular carcinoma tissues and normal tissues were analyzed and they had statistical differences by t test, or Wilcoxon rank test with a significance level of 0.05. Thus, peak locations were served as feature vectors for construction of diagnostic models based on classification tree. Diagnostic models based on classification tree were constructed and validated via a 10- fold cross validation method. The classification tree model based on Gdi split criterion achieved an accuracy of 99.24% for discrimination between hepatocellular carcinoma and normal tissue. The results demonstrated that FTIR spectroscopy combined with classification tree could be utilized for rapid and accurate diagnosis of hepatocellular carcinoma.
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Gangqiang Cui, Wenyu Peng, and Yansheng Liu "Diagnosis of hepatocellular carcinoma by FTIR spectroscopy combined with classification tree", Proc. SPIE 11566, AOPC 2020: Optical Spectroscopy and Imaging; and Biomedical Optics, 115660K (5 November 2020); https://doi.org/10.1117/12.2579999
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KEYWORDS
Tissues
FT-IR spectroscopy
Spectroscopy
Diagnostics
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