Locally linear embedding method for dimensionality reduction of tissue sections of endometrial carcinoma by near infrared spectroscopy

Analytica Chimica Acta

Volumn 724, Issue , 2012, Pages 12-19

  Qi, Na ^a   Zhang, Zhuoyong ^a   Xiang, Yuhong ^a   Harrington, Peter de B ^b  

^a CAPITAL NORMAL UNIVERSITY   (China)

^b OHIO UNIVERSITY   (United States)

Author keywords

Cancer diagnosis; Locally linear embedding; Near infrared spectroscopy; Principal component compression; Support vector machine

Indexed keywords

CANCER DIAGNOSIS; LOCALLY LINEAR EMBEDDING; NEAR-INFRARED SPECTROSCOPY (NIRS); PRINCIPAL COMPONENTS; SUPPORT VECTOR MACHINE (SVM);

FORECASTING; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; TISSUE;

SUPPORT VECTOR MACHINES;

ACCURACY; ARTICLE; CONTROLLED STUDY; ENDOMETRIUM CARCINOMA; GEOMETRY; INTERMETHOD COMPARISON; LEARNING ALGORITHM; LINEAR SYSTEM; LOCALLY LINEAR EMBEDDING ALGORITHM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NEAR INFRARED SPECTROSCOPY; NONLINEAR SYSTEM; PREDICTIVE VALUE; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SUPPORT VECTOR MACHINE; TISSUE SECTION;

ANALYSIS OF VARIANCE; CARCINOMA; DATA COMPRESSION; ENDOMETRIAL NEOPLASMS; ENDOMETRIUM; FEMALE; HUMANS; MICROTOMY; PARAFFIN EMBEDDING; SPECTROSCOPY, NEAR-INFRARED; SUPPORT VECTOR MACHINES;

EID: 84862797781     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2012.02.040     Document Type: Article

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