Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis

Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis

Currently, one of the most common causes of death worldwide is cancer. The development of innovative methods to support the early and accurate detection of cancers is required to increase the recovery rate of patients. Several studies have shown that medical Hyperspectral Imaging (HSI) combined with...

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Bibliographic Details
Main Authors: Beatriz Martinez-Vega, Mariia Tkachenko, Marianne Matkabi, Samuel Ortega, Himar Fabelo, Francisco Balea-Fernandez, Marco La Salvia, Emanuele Torti, Francesco Leporati, Gustavo M. Callico, Claire Chalopin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
min-max scaling
standard normal variate normalization
median filter
hyperspectral imaging
machine learning
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/22/8917

Internet

https://www.mdpi.com/1424-8220/22/22/8917

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