Machine Learning methods for micro-FTIR imaging classification of human skin tumors

This review presents some methods applied to micro-FTIR imaging for classification of human skin tumors. It is a collection of the pre-processing pipeline and machine learning classification models. The aim of this review is to update and summarize the current methods which are applied in our skin t...

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Bibliographic Details
Published in2021 SBFoton International Optics and Photonics Conference (SBFoton IOPC) pp. 1 - 5
Main Authors del Valle, Matheus, Stancari, Kleber, de Castro, Pedro Arthur Augusto, dos Santos, Moises Oliveira, Zezell, Denise Maria
Format Conference Proceeding
LanguageEnglish
Published IEEE 31.05.2021
Subjects
Imaging
Machine learning
micro-FTIR imaging
Optics
Photonics
Pipelines
Skin
skin tumor
spectral bands
Tumors
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Summary:This review presents some methods applied to micro-FTIR imaging for classification of human skin tumors. It is a collection of the pre-processing pipeline and machine learning classification models. The aim of this review is to update and summarize the current methods which are applied in our skin tumor research.
DOI:10.1109/SBFotonIOPC50774.2021.9461969