DeepCAT: Deep Computer-Aided Triage of Screening Mammography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s10278-020-00407-0.pdf
Reference28 articles.
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2. Lindsey R, Daluiski A, Chopra S, Lachapelle A, Mozer M, Sicular S, et al: Deep neural network improves fracture detection by clinicians. Proc Natl Acad Sci 2018;115:11591–6. https://doi.org/10.1073/pnas.1806905115
3. Monticciolo DL, Newell MS, Hendrick RE, Helvie MA, Moy L, Monsees B, et al: Breast Cancer Screening for Average-Risk Women: Recommendations From the ACR Commission on Breast Imaging. J Am Coll Radiol 2017;14:1137-43. https://doi.org/10.1016/J.JACR.2017.06.001
4. Wing P, Langelier MH: Workforce Shortages in Breast Imaging: Impact on Mammography Utilization. Am J Roentgenol 2009;192:370–8. https://doi.org/10.2214/AJR.08.1665
5. Torres-Mejía G, Smith RA, Carranza-Flores M de la L, Bogart A, Martínez-Matsushita L, Miglioretti DL, et al: Radiographers supporting radiologists in the interpretation of screening mammography: A viable strategy to meet the shortage in the number of radiologists. BMC Cancer 2015;15:410. https://doi.org/10.1186/s12885-015-1399-2
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