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Raman spectra exploring breast tissues: Comparison of principal component analysis and support vector machine-recursive feature elimination
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10.1118/1.4804054
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    Affiliations:
    1 State Key Laboratory for Supramolecular Structure and Materials, Jilin University, Changchun 130012, China
    2 College of Computer Science and Technology, Jilin University, Changchun 130012, China
    3 Department of Breast Surgery, The First Hospital of Jilin University, Changchun 130021, China
    4 State Key Laboratory for Supramolecular Structure and Materials, Jilin University, Changchun 130012, China
    5 Department of Breast Surgery, The First Hospital of Jilin University, Changchun 130021, China
    6 College of Computer Science and Technology, Jilin University, Changchun 130012, China
    7 Pathology Department, The First Hospital of Jilin University, Changchun 130021, China
    8 Department of Breast Surgery, The First Hospital of Jilin University, Changchun 130021, China
    9 State Key Laboratory for Supramolecular Structure and Materials, Jilin University, Changchun 130012, China
    a) Authors to whom correspondence should be addressed. Electronic mail: yintian77@126.com and xuwq@jlu.edu.cn
    Med. Phys. 40, 063501 (2013); http://dx.doi.org/10.1118/1.4804054
/content/aapm/journal/medphys/40/6/10.1118/1.4804054
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/40/6/10.1118/1.4804054

Figures

Image of FIG. 1.
FIG. 1.

The unprocessed mean spectra per pathological class. (a) malignant, (b) benign, and (c) normal.

Image of FIG. 2.
FIG. 2.

Mean Raman spectra of breast tissues. (a) malignant, (b) benign, and (c) normal.

Image of FIG. 3.
FIG. 3.

Difference spectra of normal, malignant, and benign breast tissue spectra. (a) malignant subtract normal, (b) benign subtract normal, and (c) malignant subtract benign.

Image of FIG. 4.
FIG. 4.

(a) The PCA of Raman spectra of normal (●), malignant (▲), and benign (◆) breast tissues. (b) Mahalanobis distance of different samples. (c) The plots of spectral residual vs Mahalanobis distance.

Image of FIG. 5.
FIG. 5.

(a) Scattered plots of Raman intensities at 1251 and 1644 cm. (b) The plot of sample number vs Mahalanobis distance. (c) The plots of spectral residual vs Mahalanobis distance.

Tables

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TABLE I.

Clinicopathological parameters.

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TABLE II.

Peak assignment of the Raman spectra of normal, benign, and malignant tissues.

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TABLE III.

Comparison of the pathologic diagnosis with the Raman diagnostic algorithm in PCA.

Generic image for table
TABLE IV.

Comparison of the pathologic diagnosis with the Raman diagnostic algorithm in SVM-RFE.

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/content/aapm/journal/medphys/40/6/10.1118/1.4804054
2013-05-14
2014-04-24
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Raman spectra exploring breast tissues: Comparison of principal component analysis and support vector machine-recursive feature elimination
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/40/6/10.1118/1.4804054
10.1118/1.4804054
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