Impact of Pre- and Post-Processing Steps for Supervised Classification of Colorectal Cancer in Hyperspectral Images

Impact of Pre- and Post-Processing Steps for Supervised Classification of Colorectal Cancer in Hyperspectral Images

Background: Recent studies have shown that hyperspectral imaging (HSI) combined with neural networks can detect colorectal cancer. Usually, different pre-processing techniques (e.g., wavelength selection and scaling, smoothing, denoising) are analyzed in detail to achieve a well-trained network. The...

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Bibliographic Details
Main Authors: Mariia Tkachenko, Claire Chalopin, Boris Jansen-Winkeln, Thomas Neumuth, Ines Gockel, Marianne Maktabi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Cancers
Subjects:
cancer classification
colorectal cancer
pre-processing
post-processing
hyperspectral imaging
machine learning
Online Access:https://www.mdpi.com/2072-6694/15/7/2157

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https://www.mdpi.com/2072-6694/15/7/2157

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