A Breast Density Classification System for Mammography Considering Reliability Issues in Deep Learning-Reference-Cited by-同舟云学术

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A Breast Density Classification System for Mammography Considering Reliability Issues in Deep Learning

Published:2023 Issue:03 Volume:13 Page:63-83
ISSN:2164-2788
Container-title:Open Journal of Medical Imaging
language:
Short-container-title:OJMI

Author:

Matsuyama Eri,Takehara Megumi,Takahashi Noriyuki,Watanabe Haruyuki

Publisher

Scientific Research Publishing, Inc.

Subject

General Chemical Engineering

Reference39 articles.

1. Breast Cancer Facts and Statistics. https://www.breastcancer.org/facts-statistics

2. Early Detection: Breast Health Awareness and Early Strategies. The Global Breast Cancer Initiative. https://www.paho.org/hq/dmdocuments/2016/KNOWLEDGE-SUMMARY---EARLY-DETECTION.pdf

3. The Impact of Mammographic Screening on Breast Cancer Mortality in Europe: A Review of Observational Studies

4. Mammographic Densities and Risk of Breast Cancer Among Subjects With a Family History of This Disease

5. Ursin, G., Ma, H., Wu, A.H., Bernstein, L., Salane, M., Parisky, et al. (2003) Mammographic Density and Breast Cancer in Three Ethnic Groups. Cancer Epidemiology, Biomarkers & Prevention, 12, 332-338. https://pubmed.ncbi.nlm.nih.gov/12692108/

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Approach to Classifying Breast Density Level Using Deep Learning-Based Segmentation Model on Full-Field Digital Mammograms;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26

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