Multi-institutional classification of fibroglandular tissue and background parenchymal enhancement in breast MRI using deep learning.
- DOI
- 10.1117/1.jmi.13.3.034501
- Published
- 2026 May
- Container
- Journal of medical imaging (Bellingham, Wash.)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1117/1.jmi.13.3.034501,
title = {Multi-institutional classification of fibroglandular tissue and background parenchymal enhancement in breast MRI using deep learning.},
author = {Geissler K and Meine H and Laue H and Grimm R and von Busch H and Diekmann S and Szolar D and Ohlmeyer S and Szurowska E and Fischer U and Uchiyama N and Oyama K and Schmidt N and Wenzel M},
year = {2026},
journal = {Journal of medical imaging (Bellingham, Wash.)},
doi = {10.1117/1.jmi.13.3.034501},
url = {https://doi.org/10.1117/1.jmi.13.3.034501}
}RIS
TY - JOUR TI - Multi-institutional classification of fibroglandular tissue and background parenchymal enhancement in breast MRI using deep learning. AU - Geissler K AU - Meine H AU - Laue H AU - Grimm R AU - von Busch H AU - Diekmann S AU - Szolar D AU - Ohlmeyer S AU - Szurowska E AU - Fischer U AU - Uchiyama N AU - Oyama K AU - Schmidt N AU - Wenzel M PY - 2026 JO - Journal of medical imaging (Bellingham, Wash.) DO - 10.1117/1.jmi.13.3.034501 UR - https://doi.org/10.1117/1.jmi.13.3.034501 ER -
APA
K, G., H, M., H, L., R, G., H, V. B., S, D., D, S., S, O., E, S., U, F., N, U., K, O., N, S., & M, W. (2026). Multi-institutional classification of fibroglandular tissue and background parenchymal enhancement in breast MRI using deep learning.. Journal of medical imaging (Bellingham, Wash.). https://doi.org/10.1117/1.jmi.13.3.034501
Source records
- pubmed · retrieved 2026-09-25T21:38:40.229Z