An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images
- DOI
- 10.1007/978-3-031-08341-9_14
- Published
- 2022
- Container
- Not recorded
- Publisher
- Springer International Publishing
- Open access
- yes
Credibility signals
uncertain Score 51/100 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-08341-9_14,
title = {An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images},
author = {Vangelis Tzardis and Efthyvoulos Kyriacou and Christos P. Loizou and Anastasia Constantinidou},
year = {2022},
doi = {10.1007/978-3-031-08341-9_14},
url = {https://doi.org/10.1007/978-3-031-08341-9_14}
}RIS
TY - JOUR TI - An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images AU - Vangelis Tzardis AU - Efthyvoulos Kyriacou AU - Christos P. Loizou AU - Anastasia Constantinidou PY - 2022 DO - 10.1007/978-3-031-08341-9_14 UR - https://doi.org/10.1007/978-3-031-08341-9_14 ER -
APA
Tzardis, V., Kyriacou, E., Loizou, C. P., & Constantinidou, A. (2022). An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images. https://doi.org/10.1007/978-3-031-08341-9_14
Source records
- hal · retrieved 2026-09-26T12:26:24.060Z