A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images
- DOI
- 10.1109/bibe50027.2020.00132
- Published
- 2020-10
- Container
- 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
- Publisher
- IEEE
- 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:10.1109/bibe50027.2020.00132,
title = {A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images},
author = {Asma Touil and Karim Kalti and Pierre-Henri Conze and Basel Solaiman and Mohamed Ali Mahjoub},
year = {2020},
journal = {2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)},
doi = {10.1109/bibe50027.2020.00132},
url = {https://doi.org/10.1109/bibe50027.2020.00132}
}RIS
TY - JOUR TI - A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images AU - Asma Touil AU - Karim Kalti AU - Pierre-Henri Conze AU - Basel Solaiman AU - Mohamed Ali Mahjoub PY - 2020 JO - 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) DO - 10.1109/bibe50027.2020.00132 UR - https://doi.org/10.1109/bibe50027.2020.00132 ER -
APA
Touil, A., Kalti, K., Conze, P., Solaiman, B., & Mahjoub, M. A. (2020). A new conditional region growing approach for an accurate detection of microcalcifications from mammographic images. 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). https://doi.org/10.1109/bibe50027.2020.00132
Source records
- crossref · retrieved 2026-09-26T00:52:16.029Z