Role of image thermography in early breast cancer detection-Past, present and future

D Singh, AK Singh - Computer methods and programs in biomedicine, 2020 - Elsevier
One of the most prevalent cancers among women is the breast cancer. Accurate diagnosis
of breast cancer at an early stage can reduce the mortality associated with this disease …

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 …

[HTML][HTML] Multi-input convolutional neural network for breast cancer detection using thermal images and clinical data

R Sánchez-Cauce, J Pérez-Martín, M Luque - Computer Methods and …, 2021 - Elsevier
Background and objective Breast cancer is the most common cancer in women. While
mammography is the most widely used screening technique for the early detection of this …

[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 …

Evaluating the efficiency of infrared breast thermography for early breast cancer risk prediction in asymptomatic population

UR Gogoi, G Majumdar, MK Bhowmik… - Infrared Physics & …, 2019 - Elsevier
The high incidence and mortality rate of breast cancer in India and the limitations of gold
standard method X-ray mammography to be used as a screening and diagnostic modality in …

Breast cancer detection in thermography using convolutional neural networks (cnns) with deep attention mechanisms

A Alshehri, D AlSaeed - Applied Sciences, 2022 - mdpi.com
Featured Application Medical diagnosis and computer-aided diagnosis systems. Abstract
Breast cancer is one of the most common types of cancer among women. Accurate …

Medical infrared thermal image based fatty liver classification using machine and deep learning

A Özdil, B Yilmaz - Quantitative InfraRed Thermography Journal, 2024 - Taylor & Francis
Non-alcoholic fatty liver disease (NAFLD) causes accumulation of excess fat in the liver
affecting people who drink little to no alcohol. Non-alcoholic steatohepatitis (NASH) is an …

Automatic region of interest segmentation for breast thermogram image classification

D Sánchez-Ruiz, I Olmos-Pineda… - Pattern Recognition …, 2020 - Elsevier
Breast thermography images are a new type of data that has been analyzed in recent years
in order to detect abnormalities, which can lead to a future breast cancer. This paper …

A New method for promote the performance of deep learning paradigm in diagnosing breast cancer: improving role of fusing multiple views of thermography images

M Ensafi, MR Keyvanpour, SV Shojaedini - Health and Technology, 2022 - Springer
Purpose Breast cancer is one of the deadliest cancers among women worldwide which its
early detection may significantly reduce its mortality rate. Thermgraphy is a new, non …