A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges
There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …
Metaheuristic algorithms are one of the techniques which are capable of providing practical …
Mammogram breast cancer CAD systems for mass detection and classification: a review
Although there is an improvement in breast cancer detection and classification (CAD) tools,
there are still some challenges and limitations that need more investigation. The significant …
there are still some challenges and limitations that need more investigation. The significant …
TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages
Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …
disease and a major cause of death among women. Early and accurate diagnosis of breast …
Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach
This paper proposes a deep convolutional neural network (CNN) model for automated
breast cancer classification from a different class of images, namely, mammograms and …
breast cancer classification from a different class of images, namely, mammograms and …
Systematic review of computing approaches for breast cancer detection based computer aided diagnosis using mammogram images
DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Artificial …, 2021 - Taylor & Francis
Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …
Breast cancer detection using mammogram images with improved multi-fractal dimension approach and feature fusion
DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Sciences, 2021 - mdpi.com
Breast cancer detection using mammogram images at an early stage is an important step in
disease diagnostics. We propose a new method for the classification of benign or malignant …
disease diagnostics. We propose a new method for the classification of benign or malignant …
Moth flame optimization: theory, modifications, hybridizations, and applications
The Moth flame optimization (MFO) algorithm belongs to the swarm intelligence family and is
applied to solve complex real-world optimization problems in numerous domains. MFO and …
applied to solve complex real-world optimization problems in numerous domains. MFO and …
An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy
Moth flame optimization (MFO) algorithm is a relatively new nature-inspired optimization
algorithm based on the moth's movement towards the moon. Premature convergence and …
algorithm based on the moth's movement towards the moon. Premature convergence and …
An optimized framework for breast cancer classification using machine learning
Breast cancer, if diagnosed and treated early, has a better chance of surviving. Many studies
have shown that a larger number of ultrasound images are generated every day, and the …
have shown that a larger number of ultrasound images are generated every day, and the …
Automatic detection and classification of mammograms using improved extreme learning machine with deep learning
SRS Chakravarthy, H Rajaguru - Irbm, 2022 - Elsevier
Background and objective Breast cancer, the most intrusive form of cancer affecting women
globally. Next to lung cancer, breast cancer is the one that provides a greater number of …
globally. Next to lung cancer, breast cancer is the one that provides a greater number of …