CNN Issues in Skin Lesion Classification: Data Distribution and Quantity
- DOI
- 10.1109/access.2025.3556479
- Published
- 2025
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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: 4 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1109/access.2025.3556479,
title = {CNN Issues in Skin Lesion Classification: Data Distribution and Quantity},
author = {Giuliana Ramella and Luca Serino},
year = {2025},
journal = {IEEE Access},
doi = {10.1109/access.2025.3556479},
url = {https://doi.org/10.1109/access.2025.3556479}
}RIS
TY - JOUR TI - CNN Issues in Skin Lesion Classification: Data Distribution and Quantity AU - Giuliana Ramella AU - Luca Serino PY - 2025 JO - IEEE Access DO - 10.1109/access.2025.3556479 UR - https://doi.org/10.1109/access.2025.3556479 ER -
APA
Ramella, G., & Serino, L. (2025). CNN Issues in Skin Lesion Classification: Data Distribution and Quantity. IEEE Access. https://doi.org/10.1109/access.2025.3556479
Source records
- doaj · retrieved 2026-09-25T08:04:15.849Z