Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging.

ABSTRACT: Hyperspectral imaging (HSI) is a non-ionizing and non-contact imaging technique capable of obtaining more information than conventional RGB (red green blue) imaging. In the medical field, HSI has commonly been investigated due to its great potential for diagnostic and surgical guidance purposes. However, the large amount of information provided by HSI normally contains redundant or non-relevant information, and it is extremely important to identify the most relevant wavelengths for a certain application in order to improve the accuracy of the predictions and reduce the execution time of the classification algorithm. Additionally, some wavelengths can contain noise and removing such bands can improve the classification stage. The work presented in this paper aims to identify such relevant s

SUBMITTER: Martinez B 

PROVIDER: S-EPMC6961052 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature