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

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 into the lu...

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Detalles Bibliográficos
Autores principales: Schultheiss, Manuel, Schmette, Philipp, Bodden, Jannis, Aichele, Juliane, Müller-Leisse, Christina, Gassert, Felix G., Gassert, Florian T., Gawlitza, Joshua F., Hofmann, Felix C., Sasse, Daniel, von Schacky, Claudio E., Ziegelmayer, Sebastian, De Marco, Fabio, Renger, Bernhard, Makowski, Marcus R., Pfeiffer, Franz, Pfeiffer, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339004/
https://www.ncbi.nlm.nih.gov/pubmed/34349135
http://dx.doi.org/10.1038/s41598-021-94750-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339004/
https://www.ncbi.nlm.nih.gov/pubmed/34349135
http://dx.doi.org/10.1038/s41598-021-94750-z

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