A dynamic infrared imaging-based diagnostic process for breast cancer

R Joro 1, A-L Lääperi, P Dastidar, R Järvenpää, T Kuukasjärvi, T Toivonen, R Saaristo, S Soimakallio

PMID: 19636984              DOI: 10.1080/02841850903095377

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An automated method for the evaluation of breast cancer using infrared thermography

Antony Morales-Cervantes,1 Eleazar Samuel Kolosovas-Machuca,*,2 Edgar Guevara,2,3 Mireya Maruris Reducindo,4 Alix Berenice Bello Hernández,4 Manuel Ramos García,5 and Francisco Javier González2

EXCLI J. 2018; 17: 989–998.

Published online 2018 Oct 26. doi: 10.17179/excli2018-1735           PMCID: PMC6295635          PMID: 30564079

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Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks

• Francisco Javier Fernández-Ovies, Edwin Santiago Alférez-Baquero, Enrique Juan de Andrés-Galiana, Ana Cernea, Zulima Fernández-Muñiz & Juan Luis Fernández-Martínez 

• Conference paper     First Online: 13 April 2019 

•  https://link.springer.com/chapter/10.1007/978-3-030-17935-9_46

 

Deep convolutional neural networks for classifying breast cancer using infrared thermography

Juan Carlos Torres-Galván, Edgar Guevara, Eleazar Samuel Kolosovas-Machuca, Antonio Oceguera-Villanueva, Jorge L. Flores & Francisco Javier González

 

Pages 283-294 | Received 12 Jan 2021, Accepted 12 Apr 2021, Published online: 06 May 2021

​https://doi.org/10.1080/17686733.2021.1918514

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Combining Genetic Algorithms and SVM for Breast Cancer Diagnosis Using Infrared Thermography

by 

Roger Resmini 1,2,  Lincoln Silva 2,3,Adriel S. Araujo 2,*,Petrucio Medeiros  4,Débora Muchaluat-Saade 4 andAura Conci2

1 - Institute of Exact and Natural Sciences, Federal University of Rondonópolis, Cidade Universitária, Rondonópolis 78736-900, MT, Brazil

2 - Visual Lab, Institute of Computing, Fluminense Federal University, Av. Gal. Milton Tavares de Souza, S/N, Niterói 24210-346, RJ, Brazil

3 - Advanced Research Medical Laboratory, Departament of Information Technology and Education in Health, Faculty of Medical Sciences, State University of Rio de Janeiro, R. Professor Manuel de Abreu, 444, Rio de Janeiro 20550-170, RJ, Brazil

4 - Mídiacom Lab, Institute of Computing, Fluminense Federal University, R. Passo da Pátria 156, Niterói 24210-240, RJ, Brazil

Sensors 2021, 21(14), 4802; https://doi.org/10.3390/s21144802

Received: 11 June 2021 / Revised: 29 June 2021 / Accepted: 5 July 2021 / Published: 14 July 2021

(This article belongs to the Special Issue Thermal Imaging Sensors and Their Applications)

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Experimental approach for breast cancer center estimation using infrared thermography

Author links open overlay panelAlisson Augusto Azevedo Figueiredo a, Henrique Coelho Fernandes b, Gilmar Guimaraes a

a

School of Mechanical Engineering, Federal University of Uberlandia, Uberlandia 38408-100, Brazil

b

School of Computer Science, Federal University of Uberlandia, Uberlandia 38408-100, Brazil

Received 7 August 2018, Revised 11 October 2018, Accepted 18 October 2018, Available online 26 October 2018.