Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance

Lung nodule detection in chest X-rays using synthetic ground-truth data comparing CNN-based diagnosis to human performance

Abstract We present a method to generate synthetic thorax radiographs with realistic nodules from CT scans, and a perfect ground truth knowledge. We evaluated the detection performance of nine radiologists and two convolutional neural networks in a reader study. Nodules were artificially inserted in...

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Autores principales: Manuel Schultheiss, Philipp Schmette, Jannis Bodden, Juliane Aichele, Christina Müller-Leisse, Felix G. Gassert, Florian T. Gassert, Joshua F. Gawlitza, Felix C. Hofmann, Daniel Sasse, Claudio E. von Schacky, Sebastian Ziegelmayer, Fabio De Marco, Bernhard Renger, Marcus R. Makowski, Franz Pfeiffer, Daniela Pfeiffer
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/d2e234157a904202804449b039ffdf57
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https://doaj.org/article/d2e234157a904202804449b039ffdf57

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