SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples

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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Bibliographic Details
Main Authors: Himar Fabelo, Samuel Ortega, Elizabeth Casselden, Jane Loh, Harry Bulstrode, Ardalan Zolnourian, Paul Grundy, Gustavo M. Callico, Diederik Bulters, Roberto Sarmiento
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
spectroscopy
tissue diagnostics
medical imaging
support vector machines
brain cancer
Online Access:https://www.mdpi.com/1424-8220/18/12/4487

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https://www.mdpi.com/1424-8220/18/12/4487

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