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

Ravi K. Samala; Heang-Ping Chan; Lubomir Hadjiiski; Mark A. Helvie; Jun Wei; Kenny Cha

doi:10.1118/1.4967345

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

Medical Physics ◽

10.1118/1.4967345 ◽

2016 ◽

Vol 43 (12) ◽

pp. 6654-6666 ◽

Cited By ~ 107

Author(s):

Ravi K. Samala ◽

Heang-Ping Chan ◽

Lubomir Hadjiiski ◽

Mark A. Helvie ◽

Jun Wei ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Transfer Learning ◽

Digital Breast Tomosynthesis ◽

Deep Convolutional Neural Network ◽

Mass Detection ◽

Breast Tomosynthesis

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Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Physics in Medicine and Biology ◽

10.1088/1361-6560/aabb5b ◽

2018 ◽

Vol 63 (9) ◽

pp. 095005 ◽

Cited By ~ 21

Author(s):

Ravi K Samala ◽

Heang-Ping Chan ◽

Lubomir M Hadjiiski ◽

Mark A Helvie ◽

Caleb Richter ◽

...

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Convolutional Neural Network ◽

Cancer Diagnosis ◽

Digital Breast Tomosynthesis ◽

Breast Cancer Diagnosis ◽

Deep Convolutional Neural Network ◽

Breast Tomosynthesis

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Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2293412 ◽

2018 ◽

Cited By ~ 5

Author(s):

Ravi K. Samala ◽

Heang-Ping Chan ◽

Lubomir M. Hadjiiski ◽

Mark A. Helvie ◽

Caleb Richter ◽

...

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Convolutional Neural Network ◽

Transfer Learning ◽

Cancer Diagnosis ◽

Digital Breast Tomosynthesis ◽

Breast Cancer Diagnosis ◽

Breast Tomosynthesis ◽

Cross Domain ◽

Task Transfer

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Deep Convolutional Neural Network with Adversarial Training for Denoising Digital Breast Tomosynthesis Images

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2021.3066896 ◽

2021 ◽

pp. 1-1

Author(s):

Mingjie Gao ◽

Jeffrey A. Fessler ◽

Heang-Ping Chan

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Digital Breast Tomosynthesis ◽

Deep Convolutional Neural Network ◽

Breast Tomosynthesis ◽

Adversarial Training

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Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images

Medical Imaging 2021: Physics of Medical Imaging ◽

10.1117/12.2580900 ◽

2021 ◽

Author(s):

Mingjie Gao ◽

Jeffrey A. Fessler ◽

Heang-Ping Chan

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Dose Level ◽

Network Effects ◽

Digital Breast Tomosynthesis ◽

Deep Convolutional Neural Network ◽

Breast Tomosynthesis ◽

Level Of Training

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Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7471811 ◽

2016 ◽

Cited By ~ 6

Author(s):

Dae Hoe Kim ◽

Seong Tae Kim ◽

Yong Man Ro

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Digital Breast Tomosynthesis ◽

Deep Convolutional Neural Network ◽

Feature Representation ◽

Breast Tomosynthesis

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Deep convolutional neural network denoising for digital breast tomosynthesis reconstruction

Medical Imaging 2020: Physics of Medical Imaging ◽

10.1117/12.2549361 ◽

2020 ◽

Author(s):

Mingjie Gao ◽

Ravi K. Samala ◽

Jeffrey A. Fessler ◽

Heang-Ping Chan

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Digital Breast Tomosynthesis ◽

Deep Convolutional Neural Network ◽

Breast Tomosynthesis

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Mass Detection and Segmentation in Digital Breast Tomosynthesis Using 3D-Mask Region-Based Convolutional Neural Network: A Comparative Analysis

Frontiers in Molecular Biosciences ◽

10.3389/fmolb.2020.599333 ◽

2020 ◽

Vol 7 ◽

Author(s):

Ming Fan ◽

Huizhong Zheng ◽

Shuo Zheng ◽

Chao You ◽

Yajia Gu ◽

...

Keyword(s):

Neural Network ◽

Comparative Analysis ◽

Convolutional Neural Network ◽

Digital Breast Tomosynthesis ◽

Mass Detection ◽

Breast Tomosynthesis

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Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2293400 ◽

2018 ◽

Cited By ~ 1

Author(s):

Ravi K. Samala ◽

Heang-Ping Chan ◽

Lubomir M. Hadjiiski ◽

Mark A. Helvie ◽

Caleb Richter ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Digital Breast Tomosynthesis ◽

Computer Aided Diagnosis ◽

Deep Convolutional Neural Network ◽

Breast Tomosynthesis ◽

Computer Aided ◽

Aided Diagnosis

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Synthesis of Mammogram from Digital Breast Tomosynthesis using Deep Convolutional Neural Network with Gradient Guided cGANs

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2021.3071544 ◽

2021 ◽

pp. 1-1

Author(s):

Gongfa Jiang ◽

Jun Wei ◽

Yuesheng Xu ◽

Zilong He ◽

Hui Zeng ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Digital Breast Tomosynthesis ◽

Deep Convolutional Neural Network ◽

Breast Tomosynthesis

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Deep convolutional neural network with new training method and transfer learning for structural fault classification of vehicle instrument panel structure

Journal of Mechanical Science and Technology ◽

10.1007/s12206-020-1009-3 ◽

2020 ◽

Vol 34 (11) ◽

pp. 4489-4498

Author(s):

Sang-Yun Lee ◽

Sang-Kwon Lee

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Transfer Learning ◽

Deep Convolutional Neural Network ◽

Fault Classification ◽

Instrument Panel ◽

Training Method

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