Paraffin embedded cancer tissue 2D terahertz imaging and machine learning analysis Y. V. Kistenev, A. V. Borisov, A. I. Knyazkova [et.al.]
Material type:
ArticleSubject(s): ТГц-спектроскопия | аденокарцинома | опухолевые ткани | здоровые тканиGenre/Form: статьи в сборниках Online resources: Click here to access online
In:
The 22nd International Charles Heidelberger symposium on cancer research : proceedings of the International symposium, 17-19 September 2018 P. 47-49Abstract: Absorption spectra of paraffin-embedded prostate and adenocarcinoma cancer tissues and
healthy tissues have been measured in the 0.3‑3 THz range. The Principal Component Analysis
was applied to separate informative features in measured THz spectra. The Support Vector Machine
(SVM) classifier was created which allows to distinguish the tumor tissues from healthy tissues,
including classification of prostate cancer tissue stage according to the Gleason scale.
Библиогр.: 7 назв.
Absorption spectra of paraffin-embedded prostate and adenocarcinoma cancer tissues and
healthy tissues have been measured in the 0.3‑3 THz range. The Principal Component Analysis
was applied to separate informative features in measured THz spectra. The Support Vector Machine
(SVM) classifier was created which allows to distinguish the tumor tissues from healthy tissues,
including classification of prostate cancer tissue stage according to the Gleason scale.
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