An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm

EH Houssein, MM Emam, AA Ali - Expert Systems with Applications, 2021 - Elsevier
Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …

An extensive review on emerging advancements in thermography and convolutional neural networks for breast cancer detection

J Iyadurai, M Chandrasekharan, S Muthusamy… - Wireless Personal …, 2024 - Springer
Breast cancer remains a significant health concern, necessitating early and accurate
detection methods to reduce mortality rates. This review examines the use of thermography …

Breast cancer segmentation from thermal images based on chaotic salp swarm algorithm

A Ibrahim, S Mohammed, HA Ali, SE Hussein - IEEE Access, 2020 - ieeexplore.ieee.org
Breast cancer is one of the most common types of cancer and early detection can
significantly decrease the associated mortality rate. Different kinds of segmentation methods …

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 …

Optimizing cancer classification: A hybrid RDO-XGBoost approach for feature selection and predictive insights

A Yaqoob, NK Verma, RM Aziz, MA Shah - Cancer Immunology …, 2024 - Springer
The identification of relevant biomarkers from high-dimensional cancer data remains a
significant challenge due to the complexity and heterogeneity inherent in various cancer …

Quality analysis of a breast thermal images database

J Pérez-Martín… - Health Informatics …, 2023 - journals.sagepub.com
The study and early detection of breast cancer are key for its treatment. We carry out an
exhaustive analysis of the most used database for mastology research with infrared images …

Early anomaly prediction in breast thermogram by hybrid model consisting of superpixel segmentation, sparse feature descriptors and extreme learning machine …

R Sharma, JB Sharma, R Maheshwari… - … Signal Processing and …, 2021 - Elsevier
The breast thermograms can be used to detect location, physiological condition and
vascular state of anomalous breast tissues. Most of the schemes reported in literature use …

An efficient multi-level thresholding method for breast thermograms analysis based on an improved BWO algorithm

S Singh, H Singh, N Mittal, S Singh, SS Askar… - BMC Medical …, 2024 - Springer
Breast cancer is a prevalent disease and the second leading cause of death in women
globally. Various imaging techniques, including mammography, ultrasonography, X-ray, and …

An adaptive moth flame optimization algorithm with historical flame archive strategy and its application

Z Wang, Z Cao, H Jia - Soft Computing, 2023 - Springer
Abstract Moth Flame Optimization (MFO) is a new nature-inspired heuristic algorithm, and
has successfully been applied in various fields of practical engineering. To enhance …

TOWARD EFFECTIVE BREAST CANCER DETECTION IN THERMAL IMAGES USING EFFICIENT FEATURE SELECTION ALGORITHM AND FEATURE …

SMZ Moayedi, A Rezai… - … : Applications, Basis and …, 2024 - World Scientific
In this paper, an intelligent method is developed for improving the performance of the
Computer-Aided Detection (CAD) system. The research objective is to improve the …