Comparison of digital mammography alone and digital mammography plus tomosynthesis in a population-based screening program.

By P. Skaane, A. Bandos, Randi Gullien, Ellen B. Eben, Ulrika Ekseth, U. Haakenaasen, Mina Izadi, I. Jebsen, Gunnar Jahr, Mona Krager and 3 more. Radiology, 2013

1,054 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Oncology, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/786d8bf39fda981140b1dbefdee175f2df987512

How researchers see this paper

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

In Artificial Intelligence

1. Yogesh Kumar
2. Ruchika Singla
3. Apeksha Koul
4. Muhammad Fazal Ijaz

In Oncology

1. Muhammad Fazal Ijaz

In Pulmonary and Respiratory Medicine

1. Yogesh Kumar
2. Ruchika Singla
3. Apeksha Koul
4. Muhammad Fazal Ijaz

Citations in the corpus

• Why CAD Failed in Mammography. (2018, background): “Perhaps the biggest application for this technology will be in breast tomosynthesis [26].”
• Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda (2022, background): “Skaane et al. (2013) enquired the property of digital breast tomosynthesis on period and detected cancer in residents based screening.”