Neural Denoising of Ultra-low Dose Mammography-Reference-Cited by-同舟云学术

Neural Denoising of Ultra-low Dose Mammography

Published:2019 Issue: Volume: Page:215-225
ISSN:0302-9743
Container-title:Machine Learning for Medical Image Reconstruction
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Author:

Green Michael,Sklair-Levy Miri,Kiryati Nahum,Konen Eli,Mayer Arnaldo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33843-5_20

Reference24 articles.

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2. American Cancer Society: Mammogram basics (2017). https://www.cancer.org/cancer/breast-cancer/screening-tests-and-early-detection/mammograms/mammogram-basics.html

3. Miglioretti, D.L., et al.: Radiation-induced breast cancer incidence and mortality from digital mammography screening: a modeling study. Ann. Intern. Med. 164(4), 205–214 (2016)

4. Vijikala, V., Dhas, D.A.S.: Identification of most preferential denoising method for mammogram images. In: Conference on Emerging Devices and Smart Systems (ICEDSS). IEEE (2016)

5. Marrocco, C., et al.: Mammogram denoising to improve the calcification detection performance of convolutional nets. In: 14th International Workshop on Breast Imaging (IWBI 2018). International Society for Optics and Photonics (2018)

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