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 …

Meta-analysis and systematic review of the application of machine learning classifiers in biomedical applications of infrared thermography

C Magalhaes, J Mendes, R Vardasca - Applied Sciences, 2021 - mdpi.com
Atypical body temperature values can be an indication of abnormal physiological processes
associated with several health conditions. Infrared thermal (IRT) imaging is an innocuous …

Stark assessment of lifestyle based human disorders using data mining based learning techniques

M Sharma, G Singh, R Singh - IRBM, 2017 - Elsevier
Background: Medical informatics has observed an unrestrained growth in the database.
Latest advancements in the field of medical sciences have wiped out lots of critical diseases …

Effect of body fat and gender on body temperature distribution

EB Neves, ACC Salamunes, RM de Oliveira… - Journal of thermal …, 2017 - Elsevier
It is well known that body composition can influence peripheral heat loss and skin
temperature. That the distribution of body fat is affected by gender is well known; however …

Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model

S Dey, R Roychoudhury, S Malakar… - Multimedia Tools and …, 2022 - Springer
Breast cancer, the most common invasive cancer, causes deaths of thousands of women in
the world every year. Early detection of the same is a remedy to lessen the death rate …

Breast cancer detection in thermal infrared images using representation learning and texture analysis methods

M Abdel-Nasser, A Moreno, D Puig - Electronics, 2019 - mdpi.com
Nowadays, breast cancer is one of the most common cancers diagnosed in women.
Mammography is the standard screening imaging technique for the early detection of breast …

[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 …

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 …

Biomedical applications of infrared thermal imaging: current state of machine learning classification

R Vardasca, C Magalhaes, J Mendes - Proceedings, 2019 - mdpi.com
Infrared thermal (IRT) imaging is a modality that allows non-invasive and non-ionizing
monitoring of skin surface temperature distribution, providing underlining physiological …

Detection of breast abnormalities of thermograms based on a new segmentation method

MAS Ali, GI Sayed, T Gaber… - … on computer science …, 2015 - ieeexplore.ieee.org
Breast cancer is one from various diseases that has got great attention in the last decades.
This due to the number of women who died because of this disease. Segmentation is always …