Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice

Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks

(2018) João Otávio Bandeira Diniz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

(2018) Mohammed A. Al-masni et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep Convolutional Neural Networks for breast cancer screening

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

Detecting and classifying lesions in mammograms with Deep Learning

(2018) Dezső Ribli et al.   Scientific Reports

PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

(2018) Andrea C. Tricco et al.   ANNALS OF INTERNAL MEDICINE

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning

(2017) Gustavo Carneiro et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning in Mammography

(2017) Anton S. Becker et al.   INVESTIGATIVE RADIOLOGY

Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement

(2017) Philip Teare et al.   JOURNAL OF DIGITAL IMAGING

A deep learning approach for the analysis of masses in mammograms with minimal user intervention

(2017) Neeraj Dhungel et al.   MEDICAL IMAGE ANALYSIS

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network

(2017) Thijs Kooi et al.   MEDICAL PHYSICS

Will Machine Learning Tip the Balance in Breast Cancer Screening?

(2017) Andrew D. Trister et al.   JAMA Oncology

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

(2016) Qi Zhang et al.   ULTRASONICS

Digital Breast Tomosynthesis

(2016) Nehmat Houssami et al.   JAMA Oncology

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

(2016) Jinhua Wang et al.   Scientific Reports

Characterization of Architectural Distortion in Mammograms Based on Texture Analysis Using Support Vector Machine Classifier with Clinical Evaluation

(2015) Amit Kamra et al.   JOURNAL OF DIGITAL IMAGING

An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images

(2015) Wen-Jie Wu et al.   JOURNAL OF DIGITAL IMAGING

Going beyond a First Reader: A Machine Learning Methodology for Optimizing Cost and Performance in Breast Ultrasound Diagnosis

(2015) Santosh S. Venkatesh et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

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

Scoping reviews: time for clarity in definition, methods, and reporting

(2014) Heather L. Colquhoun et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Diagnosis of Breast Masses from Dynamic Contrast-Enhanced and Diffusion-Weighted MR: A Machine Learning Approach

(2014) Hongmin Cai et al.   PLoS One

Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model

(2014) Maxine Tan et al.   International Journal of Computer Assisted Radiology and Surgery

On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks

(2013) Marina Velikova et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images

(2012) Wen-Jie Wu et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A multitarget training method for artificial neural network with application to computer-aided diagnosis

(2012) Bei Liu et al.   MEDICAL PHYSICS

Comparative evaluation of support vector machine classification for computer aided detection of breast masses in mammography

(2012) J M Lesniak et al.   PHYSICS IN MEDICINE AND BIOLOGY

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

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

An Improved Decision Support System for Detection of Lesions in Mammograms Using Differential Evolution Optimized Wavelet Neural Network

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

Support Vector Machine Based Diagnostic System for Breast Cancer Using Swarm Intelligence

(2011) Hui-Ling Chen et al.   JOURNAL OF MEDICAL SYSTEMS

Design Ensemble Machine Learning Model for Breast Cancer Diagnosis

(2011) Sheau-Ling Hsieh et al.   JOURNAL OF MEDICAL SYSTEMS

Breast cancer risk estimation with artificial neural networks revisited

(2010) Turgay Ayer et al.   CANCER

Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification Diagnosis

(2010) Mei-Ling Huang et al.   JOURNAL OF MEDICAL SYSTEMS

Neural Network Classifier with Entropy Based Feature Selection on Breast Cancer Diagnosis

(2009) Mei-Ling Huang et al.   JOURNAL OF MEDICAL SYSTEMS