A systematic review of breast cancer detection using thermography and neural networks

MAS Al Husaini, MH Habaebi, SA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Breast cancer plays a significant role in affecting female mortality. Researchers are actively
seeking to develop early detection methods of breast cancer. Several technologies …

Technology, application and potential of dynamic breast thermography for the detection of breast cancer

JL Gonzalez-Hernandez, AN Recinella… - International Journal of …, 2019 - Elsevier
Early breast cancer detection improves the chances of survival, increases the options for
curative treatment and helps reduce costs. There are a variety of screening techniques …

A survey on multi-objective hyperparameter optimization algorithms for machine learning

A Morales-Hernández, I Van Nieuwenhuyse… - Artificial Intelligence …, 2023 - Springer
Hyperparameter optimization (HPO) is a necessary step to ensure the best possible
performance of Machine Learning (ML) algorithms. Several methods have been developed …

A CNN-based methodology for breast cancer diagnosis using thermal images

J Zuluaga-Gomez, Z Al Masry… - Computer Methods in …, 2021 - Taylor & Francis
ABSTRACT A recent study from GLOBOCAN disclosed that during 2018 two million women
worldwide had been diagnosed with breast cancer. Currently, mammography, magnetic …

Breast cancer diagnosis using thermography and convolutional neural networks

S Ekici, H Jawzal - Medical hypotheses, 2020 - Elsevier
Thermography is an entirely non-invasive and non-contact imaging technique that is widely
used in the medicinal field. Since the early detection of cancer is very important, the …

FLIR vs SEEK thermal cameras in biomedicine: comparative diagnosis through infrared thermography

A Kirimtat, O Krejcar, A Selamat, E Herrera-Viedma - BMC bioinformatics, 2020 - Springer
Background In biomedicine, infrared thermography is the most promising technique among
other conventional methods for revealing the differences in skin temperature, resulting from …

Diagnostic strategies for breast cancer detection: from image generation to classification strategies using artificial intelligence algorithms

JA Basurto-Hurtado, IA Cruz-Albarran… - Cancers, 2022 - mdpi.com
Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …

[HTML][HTML] A hybrid methodology for breast screening and cancer diagnosis using thermography

R Resmini, LF da Silva, PRT Medeiros… - Computers in Biology …, 2021 - Elsevier
Breast cancer is the second most common cancer in the world. Early diagnosis and
treatment increase the patient's chances of healing. The temperature of cancerous tissues is …

Convolutional neural networks for static and dynamic breast infrared imaging classification

MFO Baffa, LG Lattari - 2018 31st SIBGRAPI Conference on …, 2018 - ieeexplore.ieee.org
Breast cancer is the most frequent type of cancer among women. Since early diagnosis
provides a better prognosis, different techniques have been developed by researchers all …

Thermal infrared imaging based breast cancer diagnosis using machine learning techniques

SS Yadav, SM Jadhav - Multimedia Tools and Applications, 2022 - Springer
The human's temperature is little known and important to the diagnosis of diseases,
according to most researchers and health workers. In ancient medicine, doctors may treat …