Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression

Breast cancer detection using deep convolutional neural networks and support vector machines

(2019) Dina A. Ragab et al.   PeerJ

Intrusion detection system based on GA-fuzzy classifier for detecting malicious attacks

(2019) K. Pradeep Mohan Kumar et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

A novel intelligent classification model for breast cancer diagnosis

(2019) Na Liu et al.   INFORMATION PROCESSING & MANAGEMENT

An ACO–ANN based feature selection algorithm for big data

(2018) R. Joseph Manoj et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Deep Convolutional Neural Networks for breast cancer screening

(2018) Hiba Chougrad et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A support vector machine-based ensemble algorithm for breast cancer diagnosis

(2018) Haifeng Wang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

(2018) Ting Xiao et al.   Biomed Research International

Breast Cancer Classification Based on Fully-Connected Layer First Convolutional Neural Networks

(2018) Kui Liu et al.   IEEE Access

An optimum ANN-based breast cancer diagnosis: Bridging gaps between ANN learning and decision-making goals

(2018) Ruholla Jafari-Marandi et al.   APPLIED SOFT COMPUTING

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Three-Class Mammogram Classification Based on Descriptive CNN Features

(2017) M. Mohsin Jadoon et al.   Biomed Research International

Automated risk identification using NLP in cloud based development environments

(2017) K. Vijayakumar et al.   Journal of Ambient Intelligence and Humanized Computing

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

(2017) Angel Cruz-Roa et al.   Scientific Reports

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

An immune-inspired semi-supervised algorithm for breast cancer diagnosis

(2016) Lingxi Peng et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Breast cancer classification using deep belief networks

(2016) Ahmed M. Abdel-Zaher et al.   EXPERT SYSTEMS WITH APPLICATIONS

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

(2016) Jun Xu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep learning based classification of breast tumors with shear-wave elastography

(2016) Qi Zhang et al.   ULTRASONICS

Breast Cancer Detection with Reduced Feature Set

(2015) Ahmet Mert et al.   Computational and Mathematical Methods in Medicine

A weighted inference engine based on interval-valued fuzzy relational theory

(2015) Chee Kau Lim et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2013) Bing Xue et al.   APPLIED SOFT COMPUTING

Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms

(2013) Bichen Zheng et al.   EXPERT SYSTEMS WITH APPLICATIONS

Diagnostic value of fine-needle aspiration biopsy for breast mass: a systematic review and meta-analysis

(2012) Ying-Hua Yu et al.   BMC CANCER

Diverse reduct subspaces based co-training for partially labeled data

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

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

(2010) Sebastián Maldonado et al.   INFORMATION SCIENCES

Statistical analysis of mammographic features and its classification using support vector machine

(2009) M. Muthu Rama Krishnan et al.   EXPERT SYSTEMS WITH APPLICATIONS