SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples

The work presented in this paper is focused on the use of spectroscopy to identify the type of tissue of human brain samples employing support vector machine classifiers. Two different spectrometers were used to acquire infrared spectroscopic signatures in the wavenumber range between 1200&#8315...

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Hlavní autoři: Himar Fabelo, Samuel Ortega, Elizabeth Casselden, Jane Loh, Harry Bulstrode, Ardalan Zolnourian, Paul Grundy, Gustavo M. Callico, Diederik Bulters, Roberto Sarmiento
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2018-12-01
Edice:Sensors
Témata:
spectroscopy
tissue diagnostics
medical imaging
support vector machines
brain cancer
On-line přístup:https://www.mdpi.com/1424-8220/18/12/4487
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