Breast Imaging Reporting and Data System: inter- and intraobserver variability in feature analysis and final assessment.

By W. Berg, C. Campassi, P. Langenberg, M. Sexton. AJR. American journal of roentgenology, 2000

1,070 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/7c5ca8a7ee884f91fceb834c776e8c9d5ffbcc52

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. B. Schepps
2. S. Koelliker
3. M. Mainiero
4. E. Lazarus
5. Linda S Livingston

Citations in the corpus

• BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value. (2006, result): “The fair agreement for overall BI-RADS category reported in our study ( 0.28) was not much different from that reported byBerg et al (11) ( 0.37) in a prior study in which only mammography was used.”