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IR@PKUHSC  > 北京大学第三临床医学院  > 普通外科  > 期刊论文
学科主题: 临床医学
题名:
Detection of Gastric Cancer with Fourier Transform Infrared Spectroscopy and Support Vector Machine Classification
作者: Li, Qingbo1; Wang, Wei1; Ling, Xiaofeng2; Wu, Jin Guang3
刊名: BIOMED RESEARCH INTERNATIONAL
发表日期: 2013
DOI: 10.1155/2013/942427
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Biotechnology & Applied Microbiology ; Medicine, Research & Experimental
研究领域[WOS]: Biotechnology & Applied Microbiology ; Research & Experimental Medicine
关键词[WOS]: ENDOSCOPIC BIOPSIES ; CELLS ; DIAGNOSIS ; SPECTRA ; TISSUES
英文摘要:

Early diagnosis and early medical treatments are the keys to save the patients′ lives and improve the living quality. Fourier transform infrared (FT-IR) spectroscopy can distinguish malignant from normal tissues at the molecular level. In this paper, programs were made with pattern recognition method to classify unknown samples. Spectral data were pretreated by using smoothing and standard normal variate (SNV) methods. Leave-one-out cross validation was used to evaluate the discrimination result of support vector machine (SVM) method. A total of 54 gastric tissue samples were employed in this study, including 24 cases of normal tissue samples and 30 cases of cancerous tissue samples. The discrimination results of SVM method showed the sensitivity with 100%, specificity with 83.3%, and total discrimination accuracy with 92.2%.

语种: 英语
所属项目编号: IRT0705 ; 60708026
项目资助者: Programs for Changjiang Scholars and Innovative Research Team (PCSIRT) in University of China ; National Natural Science Foundation
WOS记录号: WOS:000323444200001
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/64289
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.Beihang Univ, Sch Instrumentat Sci & Optoelect Engn, Educ Minist, Precis Optomechatron Technol Key Lab, Beijing 100191, Peoples R China
2.Peking Univ, Dept Gen Surg, Hosp 3, Beijing 100083, Peoples R China
3.Peking Univ, Coll Chem & Mol Engn, Beijing 100871, Peoples R China

Recommended Citation:
Li, Qingbo,Wang, Wei,Ling, Xiaofeng,et al. Detection of Gastric Cancer with Fourier Transform Infrared Spectroscopy and Support Vector Machine Classification[J]. BIOMED RESEARCH INTERNATIONAL,2013.
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