Empirical Inference Article 2021

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?

Author(s): Perl, R. M. and Grimmer, R. and Hepp, T. and Horger, M. S.
Journal: Investigative Radiology
Volume: 56
Number (issue): 2
Pages: 103--108
Year: 2021
Month: February
Bibtex Type: Article (article)
DOI: 10.1097/RLI.0000000000000713
State: Published
Electronic Archiving: grant_archive

BibTex

@article{PerGriHepHor21,
  title = {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?},
  journal = {Investigative Radiology},
  volume = {56},
  number = {2},
  pages = {103--108},
  month = feb,
  year = {2021},
  slug = {pergrihephor21},
  author = {Perl, R. M. and Grimmer, R. and Hepp, T. and Horger, M. S.},
  month_numeric = {2}
}