Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification

Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification

Hyperspectral imaging techniques (HSI) do not require contact with patients and are non-ionizing as well as non-invasive. As a consequence, they have been extensively applied in the medical field. HSI is being combined with machine learning (ML) processes to obtain models to assist in diagnosis. In...

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Bibliographic Details
Main Authors: Gemma Urbanos, Alberto Martín, Guillermo Vázquez, Marta Villanueva, Manuel Villa, Luis Jimenez-Roldan, Miguel Chavarrías, Alfonso Lagares, Eduardo Juárez, César Sanz
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
hyperspectral imaging
machine learning
classification
support vector machine
random forest
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/21/11/3827

Internet

https://www.mdpi.com/1424-8220/21/11/3827

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