A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis

Marine Predators Algorithm: A nature-inspired metaheuristic

(2020) Afshin Faramarzi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Enhanced Monarchy Butterfly Optimization Technique for effective breast cancer diagnosis

(2019) S. Punitha et al.   JOURNAL OF MEDICAL SYSTEMS

Simultaneous feature weighting and parameter determination of Neural Networks using Ant Lion Optimization for the classification of breast cancer

(2019) Singh Dalwinder et al.   Biocybernetics and Biomedical Engineering

Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony

(2019) Akbar Telikani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detecting and classifying lesions in mammograms with Deep Learning

(2018) Dezső Ribli et al.   Scientific Reports

A Cognitively Inspired Hybridization of Artificial Bee Colony and Dragonfly Algorithms for Training Multi-layer Perceptrons

(2018) Waheed A. H. M. Ghanem et al.   Cognitive Computation

Feature selection based on artificial bee colony and gradient boosting decision tree

(2018) Haidi Rao et al.   APPLIED SOFT COMPUTING

A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited–memory BFGS optimization algorithms

(2017) Hasan Badem et al.   NEUROCOMPUTING

A hybrid algorithm using ant and bee colony optimization for feature selection and classification (AC-ABC Hybrid)

(2017) P. Shunmugapriya et al.   Swarm and Evolutionary Computation

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Classification of DNA microarrays using artificial neural networks and ABC algorithm

(2016) Beatriz A. Garro et al.   APPLIED SOFT COMPUTING

Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer

(2016) Razieh Sheikhpour et al.   APPLIED SOFT COMPUTING

Incidence and Mortality and Epidemiology of Breast Cancer in the World

(2016) Mahshid Ghoncheh et al.   Asian Pacific Journal of Cancer Prevention

A hybrid approach of differential evolution and artificial bee colony for feature selection

(2016) Ezgi Zorarpacı et al.   EXPERT SYSTEMS WITH APPLICATIONS

Benign and malignant breast tumors classification based on region growing and CNN segmentation

(2015) Rahimeh Rouhi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Interior search algorithm (ISA): A novel approach for global optimization

(2014) Amir H. Gandomi   ISA TRANSACTIONS

Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach

(2014) J. Dheeba et al.   JOURNAL OF BIOMEDICAL INFORMATICS

A GA-based feature selection and parameter optimization of an ANN in diagnosing breast cancer

(2014) Fadzil Ahmad et al.   PATTERN ANALYSIS AND APPLICATIONS

Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms

(2013) Bing Xue et al.   APPLIED SOFT COMPUTING

Mass Classification in Mammograms Using Selected Geometry and Texture Features, and a New SVM-Based Feature Selection Method

(2013) Xiaoming Liu et al.   IEEE Systems Journal

Edge detection of infrared image with CNN_DGA algorithm

(2013) Wei Wang et al.   OPTIK

Krill herd: A new bio-inspired optimization algorithm

(2012) Amir Hossein Gandomi et al.   Communications in Nonlinear Science and Numerical Simulation

Fast opposite weight learning rules with application in breast cancer diagnosis

(2012) Fatemeh Saki et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence

(2012) Smaranda Belciug et al.   EXPERT SYSTEMS

Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection

(2012) Ruxandra Stoean et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of benign and malignant masses based on Zernike moments

(2011) Amir Tahmasbi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Diverse reduct subspaces based co-training for partially labeled data

(2011) Duoqian Miao et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

A Swarm Optimized Neural Network System for Classification of Microcalcification in Mammograms

(2011) J. Dheeba et al.   JOURNAL OF MEDICAL SYSTEMS

Building an ensemble system for diagnosing masses in mammograms

(2011) Yu Zhang et al.   International Journal of Computer Assisted Radiology and Surgery

Directional features for automatic tumor classification of mammogram images

(2010) Ioan Buciu et al.   Biomedical Signal Processing and Control

A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram

(2010) Mohamed Meselhy Eltoukhy et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes

(2010) Mingyuan Zhao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Simultaneous feature selection and classification using kernel-penalized support vector machines

(2010) Sebastián Maldonado et al.   INFORMATION SCIENCES

A new wrapper feature selection approach using neural network

(2010) Md. Monirul Kabir et al.   NEUROCOMPUTING

Development of tolerant features for characterization of masses in mammograms

(2009) Alfonso Rojas-Domínguez et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer

(2009) Brijesh Verma et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel soft cluster neural network for the classification of suspicious areas in digital mammograms

(2009) Brijesh Verma et al.   PATTERN RECOGNITION

An expert system for detection of breast cancer based on association rules and neural network

(2008) Murat Karabatak et al.   EXPERT SYSTEMS WITH APPLICATIONS