The Worrisome Impact of an Inter-rater Bias on Neural Network Training

Or Shwartzman, Harel Gazit, Ilan Shelef +1

The problem of inter-rater variability is often discussed in the context of manual labeling of medical images. The emergence of data-driven approaches such as Deep Neural Networks…