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Quantitative InfraRed Thermography Journal Volume 19, 2022 - Issue 4
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Research Article

Deep convolutional neural networks for classifying breast cancer using infrared thermography

Juan Carlos Torres-Galvána Terahertz Science and Technology Center (C2T2) and Science and Technology National Lab (LANCyTT), Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico;b Faculty of Science, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México;c Faculty of Engineering, Universidad Autónoma de San Luis Potosí, San Luis Potosí, MéxicoCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6118-8049View further author information
ORCID Icon,
Edgar Guevarad CONACYT-Universidad Autónoma de San Luis Potosí, San Luis Potosí, MexicoORCID Iconhttps://orcid.org/0000-0002-2313-2810View further author information
ORCID Icon,
Eleazar Samuel Kolosovas-Machucab Faculty of Science, Universidad Autónoma de San Luis Potosí, San Luis Potosí, MéxicoORCID Iconhttps://orcid.org/0000-0002-7583-8655View further author information
ORCID Icon,
Antonio Oceguera-Villanuevae Secretaría de Salud Jalisco, Instituto Jalisciense de Cancerología, Guadalajara, MexicoView further author information
,
Jorge L. Floresf CUCEI, Universidad de Guadalajara, Guadalajara, MexicoView further author information
&
Francisco Javier Gonzáleza Terahertz Science and Technology Center (C2T2) and Science and Technology National Lab (LANCyTT), Universidad Autónoma de San Luis Potosí, San Luis Potosí, MexicoORCID Iconhttps://orcid.org/0000-0002-1346-9073View further author information
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Pages 283-294 | Received 12 Jan 2021, Accepted 12 Apr 2021, Published online: 06 May 2021

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Jan Verstockt, Ruben Somers, Filip Thiessen, Isabelle Hoorens, Lieve Brochez & Gunther Steenackers. (2023) Finite element skin models as additional data for dynamic infrared thermography on skin lesions. Quantitative InfraRed Thermography Journal 0:0, pages 1-20.
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Antony Morales-Cervantes, Edgar Guevara, Francisco Javier González, Gerardo Marx Chávez-Campos, Héctor Javier Vergara-Hernández, Juan Manuel Núñez-Leyva, Alejandra Ortiz-Dosal & Eleazar Samuel Kolosovas-Machuca. (2023) Determination of distal temperature using infrared thermography in Mexican children with diabetes. Quantitative InfraRed Thermography Journal 0:0, pages 1-15.
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Vartika Mishra, Santanu Kumar Rath & Durga Prasad Mohapatra. (2023) Thermograms-based detection of cancerous tumors in breasts applying texture features. Quantitative InfraRed Thermography Journal 0:0, pages 1-26.
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Nabil Karim Chebbah, Mohamed Ouslim & Sorore Benabid. (2023) New computer aided diagnostic system using deep neural network and SVM to detect breast cancer in thermography. Quantitative InfraRed Thermography Journal 20:2, pages 62-77.
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Ella Mahoro & Moulay A. Akhloufi. (2022) Breast cancer classification on thermograms using deep CNN and transformers. Quantitative InfraRed Thermography Journal 0:0, pages 1-20.
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Articles from other publishers (8)

Qiang Fang, Clemente Ibarra-Castanedo, Iván Garrido, Yuxia Duan & Xavier Maldague. (2023) Automatic Detection and Identification of Defects by Deep Learning Algorithms from Pulsed Thermography Data. Sensors 23:9, pages 4444.
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I. Perez-Raya & S. G. Kandlikar. (2023) Thermal Modeling of Patient-Specific Breast Cancer With Physics-Based Artificial Intelligence. ASME Journal of Heat and Mass Transfer 145:3.
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Nurduman Aidossov, Vasilios Zarikas, Yong Zhao, Aigerim Mashekova, Eddie Yin Kwee Ng, Olzhas Mukhmetov, Yerken Mirasbekov & Aldiyar Omirbayev. (2023) An Integrated Intelligent System for Breast Cancer Detection at Early Stages Using IR Images and Machine Learning Methods with Explainability. SN Computer Science 4:2.
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Dae-Hong Min, Byeong-su Jang & Hyung-Koo Yoon. (2023) Application of infrared thermography for estimating residual stress in ground anchors for maintenance. Scientific Reports 13:1.
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Morteza Moradi, Ramin Ghorbani, Stefano Sfarra, David M.J. Tax & Dimitrios Zarouchas. (2022) A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography. Sensors 22:23, pages 9361.
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Yi Liu, Mingkai Zheng, Kaixin Liu, Yuan Yao & Stefano Sfarra. (2022) TriMap thermography with convolutional autoencoder for enhanced defect detection of polymer composites. Journal of Applied Physics 131:14.
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Erik Vavrinsky, Niloofar Ebrahimzadeh Esfahani, Michal Hausner, Anton Kuzma, Vratislav Rezo, Martin Donoval & Helena Kosnacova. (2022) The Current State of Optical Sensors in Medical Wearables. Biosensors 12:4, pages 217.
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Hasan UCUZAL, Muhammet BAYKARA & Zeynep KÜÇÜKAKÇALI. (2021) BREAST CANCER DIAGNOSIS BASED ON THERMOGRAPHY IMAGES USING PRE-TRAINED NETWORKS. The Journal of Cognitive Systems 6:2, pages 64-68.
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