Explainable deep learning techniques for microscopic fungi classification using a learnable threshold-based ReLULeaky activation function and transfer learning.
- DOI
- 10.1016/j.jpi.2026.100683
- Published
- 2026 Aug
- Container
- Journal of pathology informatics
- 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: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.jpi.2026.100683,
title = {Explainable deep learning techniques for microscopic fungi classification using a learnable threshold-based ReLULeaky activation function and transfer learning.},
author = {Hossain M and Islam MK and Uddin M and Jahan F and Chowdhury MSA and Ahadullah M},
year = {2026},
journal = {Journal of pathology informatics},
doi = {10.1016/j.jpi.2026.100683},
url = {https://doi.org/10.1016/j.jpi.2026.100683}
}RIS
TY - JOUR TI - Explainable deep learning techniques for microscopic fungi classification using a learnable threshold-based ReLULeaky activation function and transfer learning. AU - Hossain M AU - Islam MK AU - Uddin M AU - Jahan F AU - Chowdhury MSA AU - Ahadullah M PY - 2026 JO - Journal of pathology informatics DO - 10.1016/j.jpi.2026.100683 UR - https://doi.org/10.1016/j.jpi.2026.100683 ER -
APA
M, H., MK, I., M, U., F, J., MSA, C., & M, A. (2026). Explainable deep learning techniques for microscopic fungi classification using a learnable threshold-based ReLULeaky activation function and transfer learning.. Journal of pathology informatics. https://doi.org/10.1016/j.jpi.2026.100683
Source records
- pubmed · retrieved 2026-09-26T01:40:52.642Z
- europe-pmc · retrieved 2026-09-26T01:40:52.651Z
- doaj · retrieved 2026-09-26T01:40:52.683Z