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Discrimination of skin cancer cells using Fourier transform infrared spectroscopy

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Discrimination of skin cancer cells using Fourier transform infrared spectroscopy

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Peñaranda, F.; Naranjo Ornedo, V.; Lloyd, GR.; Kastl, L.; Kemper, B.; Schnekenburger, J.; Nallala, J.... (2018). Discrimination of skin cancer cells using Fourier transform infrared spectroscopy. Computers in Biology and Medicine. 100:50-61. https://doi.org/10.1016/j.compbiomed.2018.06.023

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Title: Discrimination of skin cancer cells using Fourier transform infrared spectroscopy
Author: Peñaranda, Francisco Naranjo Ornedo, Valeriana Lloyd, Gavin R. Kastl, Lena Kemper, Björn Schnekenburger, Jürgen Nallala, Jayakrupakar Stone, Nick
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Fourier transform infrared DO spectroscopy is a highly versatile tool for cell and tissue analysis. Modern commercial FTIR microspectroscopes allow the acquisition of good-quality hyperspectral images from cytopathological ...[+]
Subjects: Machine learning , Multivariate analysis , Cancer diagnosis , Cytopathology , Fourier transform infrared spectroscopy
Copyrigths: Reserva de todos los derechos
Source:
Computers in Biology and Medicine. (issn: 0010-4825 )
DOI: 10.1016/j.compbiomed.2018.06.023
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.compbiomed.2018.06.023
Project ID:
info:eu-repo/grantAgreement/EC/FP7/317803/EU/MId- to NEaR infrared spectroscopy for improVed medical diAgnostics/
COMISION DE LAS COMUNIDADES EUROPEA/317803
Thanks:
This research has been supported by the European Commission under the Seventh Framework Programme, Project MINERVA (317803; http://minerva-project.eu/).
Type: Artículo

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