Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?

DSpace Repositorium (Manakin basiert)

Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection?

Autor(en): Perl, Regine Mariette; Grimmer, Rainer; Hepp, Tobias; Horger, Marius Stefan
Tübinger Autor(en):
Perl, Regine
Hepp, Tobias
Horger, Marius Stefan
Erschienen in: Investigative Radiology (2021), Bd. 56, H. 2, S. 103-108
Verlagsangabe: Lippincott Williams & Wilkins
Sprache: Englisch
Referenz zum Volltext: http://dx.doi.org/10.1097/RLI.0000000000000713
ISSN: 1536-0210
DDC-Klassifikation: 610 - Medizin, Gesundheit
Dokumentart: Wissenschaftlicher Artikel
Zur Langanzeige

Das Dokument erscheint in: