Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

12 Feb 2020Rachel Lea DraelosDavid DovMaciej A. MazurowskiJoseph Y. LoRicardo HenaoGeoffrey D. RubinLawrence Carin

Machine learning models for radiology benefit from large-scale data sets with high quality labels for abnormalities. We curated and analyzed a chest computed tomography (CT) data set of 36,316 volumes from 19,993 unique patients... (read more)

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