4.6 Review

Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Multidisciplinary Sciences

International evaluation of an AI system for breast cancer screening

Scott Mayer McKinney et al.

NATURE (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction

Karin Dembrower et al.

RADIOLOGY (2020)

Article Oncology

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

Alejandro Rodriguez-Ruiz et al.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System

Alejandro Rodriguez-Ruiz et al.

RADIOLOGY (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

Adam Yala et al.

RADIOLOGY (2019)

Article Computer Science, Artificial Intelligence

Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection

Yanpeng Qu et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study

Adam Yala et al.

RADIOLOGY (2019)

Review Radiology, Nuclear Medicine & Medical Imaging

Artificial intelligence and breast screening: French Radiology Community position paper

I Thomassin-Naggara et al.

DIAGNOSTIC AND INTERVENTIONAL IMAGING (2019)

Review Radiology, Nuclear Medicine & Medical Imaging

A Review of the Role of Augmented Intelligence in Breast Imaging: From Automated Breast Density Assessment to Risk Stratification

Andrea Arieno et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Concurrent Computer-Aided Detection Improves Reading Time of Digital Breast Tomosynthesis and Maintains Interpretation Performance in a Multireader Multicase Study

Richard A. Benedikt et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2018)

Article Computer Science, Interdisciplinary Applications

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

Mohammed A. Al-masni et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Article Biochemical Research Methods

Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks

Xiaofei Zhang et al.

IEEE TRANSACTIONS ON NANOBIOSCIENCE (2018)

Article Computer Science, Artificial Intelligence

Deep learning in mammography and breast histology, an overview and future trends

Azam Hamidinekoo et al.

MEDICAL IMAGE ANALYSIS (2018)

Review Radiology, Nuclear Medicine & Medical Imaging

A review of computer aided detection in mammography

Janine Katzen et al.

CLINICAL IMAGING (2018)

Article Oncology

Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening

Sarah S. Aboutalib et al.

CLINICAL CANCER RESEARCH (2018)

Review Radiology, Nuclear Medicine & Medical Imaging

Effectiveness and cost-effectiveness of double reading in digital mammography screening: A systematic review and meta-analysis

Margarita Posso et al.

EUROPEAN JOURNAL OF RADIOLOGY (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

Deep Learning in Mammography Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer

Anton S. Becker et al.

INVESTIGATIVE RADIOLOGY (2017)

Article Computer Science, Artificial Intelligence

Large scale deep learning for computer aided detection of mammographic lesions

Thijs Kooi et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Computer Science, Artificial Intelligence

A survey on deep learning in medical image analysis

Geert Litjens et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Computer Science, Interdisciplinary Applications

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

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

Ravi K. Samala et al.

MEDICAL PHYSICS (2016)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Medicine, General & Internal

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

Constance D. Lehman et al.

JAMA INTERNAL MEDICINE (2015)

Proceedings Paper Optics

Inter- and Intra-Observer Variations in the Delineation of Lesions in Mammograms

Thomas Buelow et al.

MEDICAL IMAGING 2015: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT (2015)

Proceedings Paper Optics

Detection of soft tissue densities from digital breast tomosynthesis: comparison of conventional and deep learning approaches

Sergei V. Fotin et al.

MEDICAL IMAGING 2016: COMPUTER-AIDED DIAGNOSIS (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Comparison of Direct Digital Mammography, Computed Radiography, and Film-Screen in the French National Breast Cancer Screening Program

Brigitte Seradour et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2014)

Review Oncology

European Breast Cancer Service Screening Outcomes: A First Balance Sheet of the Benefits and Harms

Eugenio Paci et al.

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

Technical and clinical breast cancer screening performance indicators for computed radiography versus direct digital radiography

Hilde Bosmans et al.

EUROPEAN RADIOLOGY (2013)

Article Medicine, General & Internal

Influence of computer-aided detection on performance of screening mammography

Joshua J. Fenton et al.

NEW ENGLAND JOURNAL OF MEDICINE (2007)

Article Radiology, Nuclear Medicine & Medical Imaging

Combining two mammographic projections in a computer aided mass detection method

Saskia van Engeland et al.

MEDICAL PHYSICS (2007)

Article Radiology, Nuclear Medicine & Medical Imaging

Importance of comparison of current and prior mammograms in breast cancer screening

Antonius A. J. Roelofs et al.

RADIOLOGY (2007)

Article Radiology, Nuclear Medicine & Medical Imaging

Use of prior mammograms in the classification of benign and malignant masses

C Varela et al.

EUROPEAN JOURNAL OF RADIOLOGY (2005)

Article Medicine, General & Internal

Diagnostic performance of digital versus film mammography for breast-cancer screening

ED Pisano et al.

NEW ENGLAND JOURNAL OF MEDICINE (2005)

Article Radiology, Nuclear Medicine & Medical Imaging

Optimal reference mammography: A comparison of mammograms obtained 1 and 2 years before the present examination

JH Sumkin et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2003)

Article Radiology, Nuclear Medicine & Medical Imaging

Effect on sensitivity and specificity of mammography screening with or without comparison of old mammograms

MG Thurfjell et al.

ACTA RADIOLOGICA (2000)