Nico Karssemeijer

Improving computer-aided detection assistance in breast cancer screening by removal of obviously false-positive findings

2017 · Medical Physics

PURPOSE: Computer-aided detection (CADe) systems for mammography screening still mark many false positives. This can cause radiologists to lose confidence in CADe, especially when many false positives are obviously not suspicious to them. In this …

Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks

2017 · arXiv (Cornell University)

We investigate the addition of symmetry and temporal context information to a deep Convolutional Neural Network (CNN) with the purpose of detecting malignant soft tissue lesions in mammography. We employ a simple linear mapping that …

Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?

2018

For more than a decade, radiologists have used traditional computer aided detection systems to read mammograms, but mainly because of a low computer specificity may not improve their screening performance, according to several studies. The …