29 citations · 29 across the 1 of their papers we have counts for
2 papers
cs.CV2019★ 29 cited
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko +17
Large, labeled datasets have driven deep learning methods to achieve expert-level performance on a variety of medical imaging tasks. We present CheXpert, a large dataset that conta…
cs.CV2018
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain
Liyue Shen, Katie Shpanskaya, Edward Lee +6
Fetal brain imaging is a cornerstone of prenatal screening and early diagnosis of congenital anomalies. Knowledge of fetal gestational age is the key to the accurate assessment of…