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

Full text
Author(s):	del Valle, Matheus ; Stancari, Kleber ; Augusto de Castro, Pedro Arthur ; dos Santos, Moises Oliveira ; Zezell, Denise Maria ; IEEE Total Authors: 6
Document type:	Journal article
Source:	2021 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE (SBFOTON IOPC); v. N/A, p. 5-pg., 2021-01-01.
Abstract
This review presents some methods applied to micro-FTIR imaging for classification of human kin 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 an applied in our skin tumor research. (AU)

FAPESP's process:	13/26113-6 - Micromachining with ultrashort laser pulses applied to the production and control of optofluidic circuits
Grantee:	Wagner de Rossi
Support Opportunities:	Research Projects - Thematic Grants


FAPESP's process:	17/50332-0 - Scientific, technological and infrastructure qualification in radiopharmaceuticals, radiation and entrepreneurship for health purposes (PDIp)
Grantee:	Marcelo Linardi
Support Opportunities:	Research Grants - State Research Institutes Modernization Program


FAPESP's process:	05/51689-2 - Optics and Photonics Research Center at UNICAMP
Grantee:	Hugo Luis Fragnito
Support Opportunities:	Research Grants - Research, Innovation and Dissemination Centers - RIDC