Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features
- DOI
- 10.1186/s41747-019-0096-3
- Published
- 2019-04-27
- Container
- European Radiology Experimental
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1186/s41747-019-0096-3,
title = {Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features},
author = {Wolf-Dieter Vogl and Katja Pinker and Thomas H. Helbich and Hubert Bickel and Günther Grabner and Wolfgang Bogner and Stephan Gruber and Zsuzsanna Bago-Horvath and Peter Dubsky and Georg Langs},
year = {2019},
journal = {European Radiology Experimental},
doi = {10.1186/s41747-019-0096-3},
url = {https://doi.org/10.1186/s41747-019-0096-3}
}RIS
TY - JOUR TI - Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features AU - Wolf-Dieter Vogl AU - Katja Pinker AU - Thomas H. Helbich AU - Hubert Bickel AU - Günther Grabner AU - Wolfgang Bogner AU - Stephan Gruber AU - Zsuzsanna Bago-Horvath AU - Peter Dubsky AU - Georg Langs PY - 2019 JO - European Radiology Experimental DO - 10.1186/s41747-019-0096-3 UR - https://doi.org/10.1186/s41747-019-0096-3 ER -
APA
Vogl, W., Pinker, K., Helbich, T. H., Bickel, H., Grabner, G., Bogner, W., Gruber, S., Bago-Horvath, Z., Dubsky, P., & Langs, G. (2019). Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features. European Radiology Experimental. https://doi.org/10.1186/s41747-019-0096-3
Source records
- crossref · retrieved 2026-11-09T18:00:50.218Z