Noninvasive detection of bladder cancer using mid-infrared spectra classification

•New system is used to acquire mid-infrared spectra from urine samples.•New PLSDA-based classifiers are designed for automatic bladder cancer detection.•The best classifier allows for automatic detection of bladder cancer with an accuracy of 82.35%.•A minimally invasive medical device with a high po...

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Veröffentlicht in:	Expert systems with applications 2017-12, Vol.89, p.333-342
Hauptverfasser:	Bensaid, Siouar, Kachenoura, Amar, Costet, Nathalie, Bensalah, Karim, Tariel, Hugues, Senhadji, Lotfi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automatic detection Bayesian analysis Bioengineering Biosensors Bladder Bladder cancer Cancer Chalcogenide glass fibers Classification Data acquisition Discriminant analysis Engineering Sciences Infrared spectra Infrared spectroscopy Life Sciences Mathematical models Medical devices PLSDA Signal and Image processing Spectrum analysis Statistical methods SVM Urine Variable selection
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