Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Abstract
Background There is interest in using convolutional neural networks (CNNs) to analyze medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested that image classification CNNs may not generalize to new data as well as previously believed. We assessed how well CNNs generalized across three hospital systems for a simulated pneumonia screening task. Methods and findings A cross-sectional design with multiple model training...
Paper Details
Title
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Published Date
Nov 6, 2018
Journal
Volume
15
Issue
11
Pages
e1002683 - e1002683
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