Auxiliary diagnosis of small tumor in mammography based on deep learning-Reference-Cited by-同舟云学术

Auxiliary diagnosis of small tumor in mammography based on deep learning

Published:2021-07-07 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Liu Yanan,Li Jingyu,Xu Dongbin,Meng Hongyan,Dong Jing,Zhao Tianyu,Tang Li,Zou He

Funder

Heilongjiang education department in 2019, research on accurate diagnosis technology of micro breast tumor based on full digital X-ray mammography images

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-021-03358-8.pdf

Reference25 articles.

1. Albarqouni S, Baur C, Achilles F, Belagiannis V, Navab N (2016) Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images. IEEE Trans Med Imaging 35(5):1313–1321

2. Ba H (2020) Medical sports rehabilitation deep learning system of sports injury based on mri image analysis. J Med Imaging Health Inform 10(5):1091–1097

3. Bleyer A, Baines C, Miller AB (2016) Impact of screening mammography on breast cancer mortality. Int J Cancer 138(8):2003–2012

4. Brem RF (2016) Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the japan strategic anti-cancer randomized trial (j-start): a randomised controlled trial. Breast Dis Year Book Q 27(4):270–272

5. Choi JS, Han BK, Ko EY, Ko ES, Hahn SY, Shin JH et al (2016) Comparison between two-dimensional synthetic mammography reconstructed from digital breast tomosynthesis and full-field digital mammography for the detection of t1 breast cancer. Eur Radiol 26(8):2538–2546

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