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}
}