Swedish two-county trial: impact of mammographic screening on breast cancer mortality during 3 decades.
By L. Tabár, B. Viták, T. Chen, A. Yen, A. Cohen, T. Tot, S. Chiu, S. Chen, J. Fann, Johan Rosell and 3 more. Radiology, 2011
817 citations recorded by the source corpus.
Subfields: Genetics, Oncology, Pulmonary and Respiratory Medicine
View Paper: https://www.semanticscholar.org/paper/27dbce3c28d50952fd7ebc19901d517e509eef18
Citations in the corpus
- A deep learning framework for supporting the classification of breast lesions in ultrasound images (2017, neutral): “most screening programs include it[3].”
- Representation learning for mammography mass lesion classification with convolutional neural networks (2016, neutral): “[1] L.”
- The benefits and harms of breast cancer screening: an independent review (2013, neutral): “Some of the Swedish trials were criticised for using trial investigators to ascribe cause of death, but subsequent evaluations were made using independent and consensus committees and national registry statistics (Nyström et al, 2002; Tábar et al, 2011).”