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 Fernandez Martinez, Juan Luis Fernandez Martinez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

We present a preliminary analysis about the use of convolutional neural networks (CNNs) for the early detection of breast cancer via infrared thermography. The two main challenges of using CNNs are having at disposal a large set of images and the required processing time. The thermographies were obtained from Vision Lab and the calculations were implemented using Fast.ai and Pytorch libraries, which offer excellent results in image classification. Different architectures of convolutional neural networks were compared and the best results were obtained with resnet34 and resnet50, reaching a predictive accuracy of 100% in blind validation. Other arquitectures also provided high classification accuracies. Deep neural networks provide excellent results in the early detection of breast cancer via infrared thermographies, with technical and computational resources that can be easily implemented in medical practice. Further research is needed to asses the probabilistic localization of the tumor regions using larger sets of annotated images and assessing the uncertainty of these techniques in the diagnosis.

Original languageEnglish (US)
Title of host publicationBioinformatics and Biomedical Engineering - 7th International Work-Conference, IWBBIO 2019, Proceedings
EditorsFernando Rojas, Ignacio Rojas, Francisco Ortuño, Francisco Ortuño, Olga Valenzuela
PublisherSpringer
Pages514-523
Number of pages10
ISBN (Print)9783030179342
DOIs
StatePublished - 2019
Externally publishedYes
Event7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019 - Granada, Spain
Duration: May 8 2019May 10 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11466 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019
Country/TerritorySpain
CityGranada
Period5/8/195/10/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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