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学科主题: 临床医学
题名:
Application of the SIMCA method to cancer diagnosis with Fourier-Transform Infrared spectroscopy
作者: Li, QB; Yang, LM; Ling, YF; Wang, JS; Zhou, XS; Shi, JS; Wu, JG
关键词: SIMCA ; cancer ; FTIR ; chemometrics
刊名: SPECTROSCOPY AND SPECTRAL ANALYSIS
发表日期: 2004-04-01
卷: 24, 期:4, 页:414-417
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Spectroscopy
研究领域[WOS]: Spectroscopy
关键词[WOS]: SPECTRA ; FTIR
英文摘要:

Early detection of cancer with mid-IR spectroscopy is a focal topic in the biomedical engineering field. A method was investigated for the detection of malignant tissues with Fourier Transform Infrared spectroscopy (FTIR) and chemometrics method of pattern recognition. Spectral pretreatment and wavelength range selection were studied to improve the classification effect of soft independent modeling of class analogy (SIMCA). To distinguish the malignant tissues from normal ones, sixty-three stomach tissue samples were investigated in this paper. Forty samples were chosen randomly as calibration set and the rest twenty-three samples as predicting set. The correctness of classification was 91%, which was satisfactory. This approach was proved to be a reliable and practicable method for cancer diagnosis. Benign and malignant tissues can be identified by the combination of FTIR spectroscopy and chemometrics, which is able to be developed as a rapid diagnosis method of cancer.

语种: 中文
WOS记录号: WOS:000221044200009
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/57100
Appears in Collections:北京大学第三临床医学院_普通外科_期刊论文

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作者单位: 1.Peking Univ, State Key Lab Rare Earth Mat & Applicat, Coll Chem & Mol Engn, Beijing 100871, Peoples R China
2.Peking Univ, Hosp 3, Dept Surg, Beijing 100083, Peoples R China
3.Xian Jiaotong Univ, Hosp 1, Dept Surg Oncol, Xian 710061, Peoples R China

Recommended Citation:
Li, QB,Yang, LM,Ling, YF,et al. Application of the SIMCA method to cancer diagnosis with Fourier-Transform Infrared spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2004,24(4):414-417.
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