A review on recent progress in thermal imaging and deep learning approaches for breast cancer detection

R Roslidar, A Rahman, R Muharar, MR Syahputra… - IEEE …, 2020 - ieeexplore.ieee.org
Developing a breast cancer screening method is very important to facilitate early breast
cancer detection and treatment. Building a screening method using medical imaging …

[HTML][HTML] Medical image based breast cancer diagnosis: State of the art and future directions

M Tariq, S Iqbal, H Ayesha, I Abbas, KT Ahmad… - Expert Systems with …, 2021 - Elsevier
The intervention of medical imaging has significantly improved early diagnosis of breast
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …

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 …

Deep learning model for fully automated breast cancer detection system from thermograms

EA Mohamed, EA Rashed, T Gaber, O Karam - PloS one, 2022 - journals.plos.org
Breast cancer is one of the most common diseases among women worldwide. It is
considered one of the leading causes of death among women. Therefore, early detection is …

[HTML][HTML] A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images

S Civilibal, KK Cevik, A Bozkurt - Expert Systems with Applications, 2023 - Elsevier
Purpose This study investigates implementation of deep learning (DL) approaches to breast
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …

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 …

Detection of Breast Cancer from Five‐View Thermal Images Using Convolutional Neural Networks

MJ Mammoottil, LJ Kulangara… - Journal of …, 2022 - Wiley Online Library
Breast cancer is one of the most common forms of cancer. Its aggressive nature coupled with
high mortality rates makes this cancer life‐threatening; hence early detection gives the …

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 …

Convolutional neural networks for breast cancer detection using regions of interest from infrared images

S Jha, MF Khalf, M Karthick - Tamjeed Journal of Healthcare …, 2023 - tamjeedpub.com
Breast cancer is the most common cancer among women in Iraq and worldwide. The
incidence in young women has been increasing over the years, and the gold standard test …

Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection

MAA Albadr, S Tiun, M Ayob, FT Al-Dhief, K Omar… - PloS one, 2020 - journals.plos.org
The coronavirus disease (COVID-19), is an ongoing global pandemic caused by severe
acute respiratory syndrome. Chest Computed Tomography (CT) is an effective method for …