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 …

Thermal-based early breast cancer detection using inception V3, inception V4 and modified inception MV4

MAS Al Husaini, MH Habaebi, TS Gunawan… - Neural Computing and …, 2022 - Springer
Breast cancer is one of the most significant causes of death for women around the world.
Breast thermography supported by deep convolutional neural networks is expected to …

A comprehensive survey on breast cancer thermography classification using deep neural network

AH Abed, EM Shaaban, OP Jena… - Machine Learning and …, 2022 - taylorfrancis.com
Building up a breast cancer identification platform is vital to encourage breast cancer
detection and treatment at the very early stage. Proposing a screening system utilizing …

Quantitative whole slide assessment of tumor-infiltrating CD8-positive lymphocytes in ER-positive breast cancer in relation to clinical outcome

D Krijgsman, MB van Leeuwen… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
There is a need for a reliable and reproducible quantification of the immune infiltrate within
the heterogeneous microenvironment of tumors in order to support therapy selection in …

ABT: a comparative analytical survey on Analysis of Breast Thermograms

M Ensafi, MR Keyvanpour, SV Shojaedini - Multimedia Tools and …, 2024 - Springer
One of the common causes of death for women worldwide is breast cancer which various
screening and imaging techniques can reduce its mortality and treatment costs. Although …

Category boosting machine learning algorithm for breast cancer prediction

H Gupta, P Kumar, S Saurabh, SK Mishra… - Revue Roumaine …, 2021 - journal.iem.pub.ro
Cancer is considered the worst of all diseases. It is a category of diseases that enable
irregular growth that may enter or spread to certain body areas. These contrast with healthy …

Breast tumour detection using machine learning: review of selected methods from 2015 to 2021

G Sharma, N Jindal - Multimedia Tools and Applications, 2022 - Springer
Breast tumour is one of the leading causes of death among women worldwide. Researchers
are working hard to develop early and improved detection tools for breast tumour. Several …

Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013-2024)

J Vicnesh, M Salvi, Y Hagiwara, HY Yee, H Mir… - IEEE …, 2024 - ieeexplore.ieee.org
Infrared thermography (IRT) is a non-invasive, radiation-free imaging technique that uses an
infrared (IR) camera to record and produce an image using IR radiation emitted from the …

Clinical Thermography for Breast Cancer Screening: A Systematic Review on Image Acquisition, Segmentation, and Classification

R Kaushik, B Sivaselvan, V Kamakoti - IETE Technical Review, 2024 - Taylor & Francis
There is a life after breast cancer. The prerequisite is early detection. Breast cancer is
curable when detected early, tiny, and has not spread–regular screening aids in early …

Deep Learning based Breast Cancer Classification on Thermogram

AK Aggarwal, M Pandey - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Breast cancer disease is a global matter of concern for women all over the world. There are
now various medical imaging approaches available for breast cancer diagnosis, including …