A deep learning classifier for digital breast tomosynthesis

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

(2020) Ioannis Sechopoulos et al.   SEMINARS IN CANCER BIOLOGY

Mammographic image classification with deep fusion learning

(2020) Xiangchun Yu et al.   Scientific Reports

Experimental evaluation of seven quality control phantoms for digital breast tomosynthesis

(2019) Julie Sage et al.   Physica Medica-European Journal of Medical Physics

Systematic approach to a channelized Hotelling model observer implementation for a physical phantom containing mass-like lesions: Application to digital breast tomosynthesis

(2019) Dimitar Petrov et al.   Physica Medica-European Journal of Medical Physics

Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives

(2019) Krzysztof J. Geras et al.   RADIOLOGY

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

(2019) Li Shen et al.   Scientific Reports

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

(2019) Nan Wu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Role of tomosynthesis in breast imaging going forward

(2018) M.J. Michell et al.   CLINICAL RADIOLOGY

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

(2018) Vitoantonio Bevilacqua et al.   Cognitive Systems Research

Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning

(2018) Mina Yousefi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning using Deep Neural Nets

(2018) Ravi K. Samala et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The threshold detectable mass diameter for 2D-mammography and digital breast tomosynthesis

(2018) Andria Hadjipanteli et al.   Physica Medica-European Journal of Medical Physics

Digital breast tomosynthesis: Dose and image quality assessment

(2017) A. Maldera et al.   Physica Medica-European Journal of Medical Physics

Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis

(2017) Dae Hoe Kim et al.   PHYSICS IN MEDICINE AND BIOLOGY

National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium

(2017) Constance D. Lehman et al.   RADIOLOGY

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

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

Dedicated breast computed tomography: Basic aspects

(2015) Antonio Sarno et al.   MEDICAL PHYSICS

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

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

Detection of masses and architectural distortions in digital breast tomosynthesis images using fuzzy and a contrario approaches

(2014) Giovanni Palma et al.   PATTERN RECOGNITION

A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications

(2013) Ioannis Sechopoulos   MEDICAL PHYSICS

Mass detection in reconstructed digital breast tomosynthesis volumes with a computer-aided detection system trained on 2D mammograms

(2013) Guido van Schie et al.   MEDICAL PHYSICS

A review of breast tomosynthesis. Part I. The image acquisition process

(2013) Ioannis Sechopoulos   MEDICAL PHYSICS

Comparison of Digital Mammography Alone and Digital Mammography Plus Tomosynthesis in a Population-based Screening Program

(2013) Per Skaane et al.   RADIOLOGY

Application of breast tomosynthesis in screening: incremental effect on mammography acquisition and reading time

(2012) D Bernardi et al.   BRITISH JOURNAL OF RADIOLOGY

Two-View and Single-View Tomosynthesis versus Full-Field Digital Mammography: High-Resolution X-Ray Imaging Observer Study

(2012) Matthew G. Wallis et al.   RADIOLOGY

Characterization of masses in digital breast tomosynthesis: Comparison of machine learning in projection views and reconstructed slices

(2010) Heang-Ping Chan et al.   MEDICAL PHYSICS

Computer-aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches

(2008) Heang-Ping Chan et al.   MEDICAL PHYSICS

Automated breast mass detection in 3D reconstructed tomosynthesis volumes: A featureless approach

(2008) Swatee Singh et al.   MEDICAL PHYSICS