activity
20172026
most citedGrader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy

576 citations · 601 across the 8 of their papers we have counts for

collaborators
Showing 2017Show all

2 papers · 1 filter

cs.CV2017★ 576 cited

Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy

Jonathan Krause, Varun Gulshan, Ehsan Rahimy +5

Diabetic retinopathy (DR) and diabetic macular edema are common complications of diabetes which can lead to vision loss. The grading of DR is a fairly complex process that requires…

cs.LG2017

Who Said What: Modeling Individual Labelers Improves Classification

Melody Y. Guan, Varun Gulshan, Andrew M. Dai +1

Data are often labeled by many different experts with each expert only labeling a small fraction of the data and each data point being labeled by several experts. This reduces the…