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Effect of Mammographic Breast Density on Average Glandular Dose (AGD) during Full-Field Digital Mammogram

Journal of medical imaging and radiation sciences, 2022-12, Vol.53 (4), p.S35-S35

2022

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Deep learning for mass detection in Full Field Digital Mammograms

Computers in biology and medicine, 2020-06, Vol.121, p.103774-103774, Article 103774

2020

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Deep learning model to predict Ki-67 expression of breast cancer using digital breast tomosynthesis

Breast cancer (Tokyo, Japan), 2024-03

2024

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Fermentation-like incubation of cocoa seeds (Theobroma cacao L.) – Reconstruction and guidance of the fermentation process

Food science & technology, 2015-06, Vol.62 (1), p.357-361

2015

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Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective

Current problems in diagnostic radiology, 2024-05, Vol.53 (3), p.346-352

2024

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Investigation of polyvinyl alcohol (PVAL) composite gels and the outcome of variation in breast phantom densities on image quality and dose in full-field digital mammography

Radiation physics and chemistry (Oxford, England : 1993), 2022-11, Vol.200, p.110393, Article 110393

2022

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Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography

Frontiers in radiology, 2023-06, Vol.3, p.1181190-1181190

2023

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Comparing Diagnostic Performance of Digital Breast Tomosynthesis and Full-Field Digital Mammography

Journal of the American College of Radiology, 2020-08, Vol.17 (8), p.999-1003

2020

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Imaging characteristics of interval cancers detected on Full Field Digital Mammography (FFDM) versus Digital Breast Tomosynthesis (DBT)

Clinical imaging, 2024-03, Vol.107, p.110063-110063, Article 110063

2024

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Pattern classification for breast lesion on FFDM by integration of radiomics and deep features

Computerized medical imaging and graphics, 2021-06, Vol.90, p.101922-101922, Article 101922

2021

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Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk

Annals of biomedical engineering, 2015-10, Vol.43 (10), p.2416-2428

2015

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Mammography image quality and evidence based practice: Analysis of the demonstration of the inframammary angle in the digital setting

European journal of radiology, 2018-03, Vol.100, p.76-84

2018

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Micropolar nanoliquid flow via mixed convective over an orthogonal cylinder

Heat transfer (Hoboken, N.J. Print), 2021-11, Vol.50 (7), p.6425-6443

2021

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Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme

Physics in medicine & biology, 2014-08, Vol.59 (15), p.4357-4373

2014

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2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer

Expert systems, 2021-09, Vol.38 (6), p.n/a

2021

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Utility of Digital Breast Tomosynthesis with Two-Dimensional Synthesized Mammography Images: A Pictorial Essay

The Indian journal of radiology & imaging, 2021-07, Vol.31 (3), p.678-688

2021

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Deep Learning Models for Automated Assessment of Breast Density Using Multiple Mammographic Image Types

Cancers, 2022-10, Vol.14 (20), p.5003

2022

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Effective lifetime radiation risk for a number of national mammography screening programmes

Radiography (London, England. 1995), 2018-08, Vol.24 (3), p.240-246

2018

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Computer aided detection of clusters of microcalcifications on full field digital mammograms

Medical physics (Lancaster), 2006-08, Vol.33 (8), p.2975-2988

2006

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Tailoring automatic exposure control toward constant detectability in digital mammography

Medical physics (Lancaster), 2015-07, Vol.42 (7), p.3834-3847

2015

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Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting

Multimedia tools and applications, 2020-06, Vol.79 (23-24), p.17147-17167

2020

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Localized detection and classification of abnormalities on FFDM and tomosynthesis examinations rated under an FROC paradigm

American journal of roentgenology (1976), 2011-03, Vol.196 (3), p.737

2011

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Regression Analysis between the Different Breast Dose Quantities Reported in Digital Mammography and Patient Age, Breast Thickness, and Acquisition Parameters

Journal of imaging, 2022-07, Vol.8 (8), p.211

2022

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A computer-aided diagnosis scheme of breast lesion classification using GLGLM and shape features: Combined-view and multi-classifiers

Physica medica, 2018-11, Vol.55, p.61-72

2018

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Radiation dose affected by mammographic composition and breast size: first application of a radiation dose management system for full-field digital mammography in Korean women

World journal of surgical oncology, 2017-02, Vol.15 (1), p.38-38, Article 38

2017

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Effect of Mammographic Breast Density on Average Glandular Dose (AGD) during Full-Field Digital Mammogram

Deep learning for mass detection in Full Field Digital Mammograms

Deep learning model to predict Ki-67 expression of breast cancer using digital breast tomosynthesis

Fermentation-like incubation of cocoa seeds (Theobroma cacao L.) – Reconstruction and guidance of the fermentation process

Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective

Investigation of polyvinyl alcohol (PVAL) composite gels and the outcome of variation in breast phantom densities on image quality and dose in full-field digital mammography

Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography

Comparing Diagnostic Performance of Digital Breast Tomosynthesis and Full-Field Digital Mammography

Imaging characteristics of interval cancers detected on Full Field Digital Mammography (FFDM) versus Digital Breast Tomosynthesis (DBT)

Pattern classification for breast lesion on FFDM by integration of radiomics and deep features

Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk

Mammography image quality and evidence based practice: Analysis of the demonstration of the inframammary angle in the digital setting

Micropolar nanoliquid flow via mixed convective over an orthogonal cylinder

Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer

Utility of Digital Breast Tomosynthesis with Two-Dimensional Synthesized Mammography Images: A Pictorial Essay

Deep Learning Models for Automated Assessment of Breast Density Using Multiple Mammographic Image Types

Effective lifetime radiation risk for a number of national mammography screening programmes

Computer aided detection of clusters of microcalcifications on full field digital mammograms

Tailoring automatic exposure control toward constant detectability in digital mammography

Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting

Localized detection and classification of abnormalities on FFDM and tomosynthesis examinations rated under an FROC paradigm

Regression Analysis between the Different Breast Dose Quantities Reported in Digital Mammography and Patient Age, Breast Thickness, and Acquisition Parameters

A computer-aided diagnosis scheme of breast lesion classification using GLGLM and shape features: Combined-view and multi-classifiers

Radiation dose affected by mammographic composition and breast size: first application of a radiation dose management system for full-field digital mammography in Korean women

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