Cancer detection using deep learning techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-021-00635-5.pdf
Reference33 articles.
1. Ferlay J, Hery C, Autier P, Sankaranarayanan R (2010) Global burden of breast cancer. In: Breast cancer epidemiology. Springer, pp 1–19
2. Broeders M et al (2012) The impact of mammographic screening on breast cancer mortality in Europe: a review of observational studies. J Med Screen 19:14–25
3. Ponti A, et al (2017) Cancer screening in the European Union. Final report on the implementation of the council recommendation on cancer screening
4. Bae MS et al (2014) Breast cancer detected with screening us: reasons for nondetection at mammography. Radiology 270:369–377
5. Hoff SR et al (2012) Breast cancer: missed interval and screening-detected cancer at full-field digital mammography and screen-film mammography—results from a retrospective review. Radiology 264:378–386
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