Automated pectoral muscle identification onMLO‐view mammograms: Comparison of deep neural network to conventional computer vision-Reference-Cited by-同舟云学术

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Automated pectoral muscle identification onMLO‐view mammograms: Comparison of deep neural network to conventional computer vision

Published:2019-03-12 Issue:5 Volume:46 Page:2103-2114
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Ma Xiangyuan¹²³,Wei Jun¹,Zhou Chuan¹,Helvie Mark A.¹,Chan Heang‐Ping¹,Hadjiiski Lubomir M.¹,Lu Yao²³

Affiliation:

1. Department of Radiology University of Michigan Ann Arbor MI USA

2. School of Data and Computer Science Sun Yat‐Sen University Guangzhou 510275P.R. China

3. Guangdong Province Key Laboratory Computational Science Sun Yat‐Sen University Guangzhou 510275 P.R. China

Funder

National Institutes of Health

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13451

Reference44 articles.

1. Cancer statistics, 2017;Siegel RL;CA,2017

2. Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis

3. Mammographic Density and the Risk and Detection of Breast Cancer

4. Mammographic density and breast cancer risk: current understanding and future prospects

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1. Improved Pectoral Muscle Segmentation in Mammograms through Regression-Based Deep Learning and Knowledge Distillation;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Optimizing Breast Cancer Detection: Machine Learning for Pectoral Muscle Segmentation in Mammograms;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

3. Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors;Journal of Medical Imaging;2023-12-28

4. A deep learning architecture with an object-detection algorithm and a convolutional neural network for breast mass detection and visualization;Healthcare Analytics;2023-11

5. Segmentation of pectoral muscle from mammograms using U-Net having densely connected convolutional layers;Multimedia Tools and Applications;2023-08-18

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