Deep convolutional neural networks for mammography: advances, challenges and applications

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

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers

(2018) Fred Matthew Hohman et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

A parasitic metric learning net for breast mass classification based on mammography

(2018) Zhicheng Jiao et al.   PATTERN RECOGNITION

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning

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

Detecting Cardiovascular Disease from Mammograms With Deep Learning

(2017) Juan Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning in Mammography

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

Using Deep Convolutional Neural Networks and Transfer Learning for Mammography Mass Lesion Classification

(2017) Xueqin Wei et al.   Journal of Computational and Theoretical Nanoscience

Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective

(2017) Aly A. Mohamed et al.   JOURNAL OF DIGITAL IMAGING

Toolkits and Libraries for Deep Learning

(2017) Bradley J. Erickson et al.   JOURNAL OF DIGITAL IMAGING

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

Medical image denoising using convolutional neural network: a residual learning approach

(2017) Worku Jifara et al.   JOURNAL OF SUPERCOMPUTING

Deep Learning in Medical Imaging: General Overview

(2017) June-Goo Lee et al.   KOREAN JOURNAL OF RADIOLOGY

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

A survey on deep learning in medical image analysis

(2017) Geert Litjens 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

A deep learning method for classifying mammographic breast density categories

(2017) Aly A. Mohamed et al.   MEDICAL PHYSICS

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets

(2017) Natalia Antropova et al.   MEDICAL PHYSICS

Medical image retrieval using deep convolutional neural network

(2017) Adnan Qayyum et al.   NEUROCOMPUTING

Deep Learning: A Primer for Radiologists

(2017) Gabriel Chartrand et al.   RADIOGRAPHICS

Three-Class Mammogram Classification Based on Descriptive CNN Features

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

A curated mammography data set for use in computer-aided detection and diagnosis research

(2017) Rebecca Sawyer Lee et al.   Scientific Data

Improving Screening Mammography Outcomes Through Comparison With Multiple Prior Mammograms

(2016) Jessica H. Hayward et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Cancer statistics, 2016

(2016) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Representation learning for mammography mass lesion classification with convolutional neural networks

(2016) John Arevalo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

(2016) Michiel Kallenberg et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Image Super-Resolution Using Deep Convolutional Networks

(2016) Chao Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

WE-DE-207B-02: Detection of Masses On Mammograms Using Deep Convolutional Neural Network: A Feasibility Study

(2016) S Suzuki et al.   MEDICAL PHYSICS

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

(2016) Ravi K. Samala et al.   MEDICAL PHYSICS

A deep feature based framework for breast masses classification

(2016) Zhicheng Jiao et al.   NEUROCOMPUTING

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection

(2015) Constance D. Lehman et al.   JAMA Internal Medicine

Screening Mammography Benefit Controversies

(2014) Stephen A. Feig   RADIOLOGIC CLINICS OF NORTH AMERICA

Saliency based mass detection from screening mammograms

(2013) Praful Agrawal et al.   SIGNAL PROCESSING

Quantifying the Benefits and Harms of Screening Mammography

(2013) H. Gilbert Welch et al.   JAMA Internal Medicine

INbreast

(2011) Inês C. Moreira et al.   ACADEMIC RADIOLOGY