Multi-objective grey wolf optimizer for improved cervix lesion classification
Cervical cancer is one of the vital and most frequent cancers, but can be cured effectively if
diagnosed in the early stage. This is a novel effort towards effective characterization of cervix …
diagnosed in the early stage. This is a novel effort towards effective characterization of cervix …
Cervical cytology classification using PCA and GWO enhanced deep features selection
Cervical cancer is one of the most deadly and common diseases among women worldwide.
It is completely curable if diagnosed in an early stage, but the tedious and costly detection …
It is completely curable if diagnosed in an early stage, but the tedious and costly detection …
Multi-feature based benchmark for cervical dysplasia classification evaluation
Cervical cancer is one of the most common types of cancer in women worldwide. Most
deaths due to the disease occur in less developed areas of the world. In this work, we …
deaths due to the disease occur in less developed areas of the world. In this work, we …
An intelligent decision support system for the accurate diagnosis of cervical cancer
Cervical cancer is the fourth most commonly diagnosed cancer and one of the leading
causes of cancer-related deaths among females worldwide. In this paper, we present an …
causes of cancer-related deaths among females worldwide. In this paper, we present an …
Binary optimization using hybrid grey wolf optimization for feature selection
A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization
(PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO …
(PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO …
Binary multi-objective grey wolf optimizer for feature selection in classification
Feature selection or dimensionality reduction can be considered as a multi-objective
minimization problem with two objectives: minimizing the number of features and minimizing …
minimization problem with two objectives: minimizing the number of features and minimizing …
Improved binary grey wolf optimizer and its application for feature selection
Abstract Grey Wolf Optimizer (GWO) is a new swarm intelligence algorithm mimicking the
behaviours of grey wolves. Its abilities include fast convergence, simplicity and easy …
behaviours of grey wolves. Its abilities include fast convergence, simplicity and easy …
[HTML][HTML] SKCV: Stratified K-fold cross-validation on ML classifiers for predicting cervical cancer
Cancer is the unregulated development of abnormal cells in the human body system.
Cervical cancer, also known as cervix cancer, develops on the cervix's surface. This causes …
Cervical cancer, also known as cervix cancer, develops on the cervix's surface. This causes …
Machine learning-based statistical analysis for early stage detection of cervical cancer
Cervical cancer (CC) is the most common type of cancer in women and remains a significant
cause of mortality, particularly in less developed countries, although it can be effectively …
cause of mortality, particularly in less developed countries, although it can be effectively …
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …