A deep learning model, NAFNet, predicts adverse pathology and recurrence in prostate cancer using MRIs.

Gu WJ, Liu Z, Yang YJ, Zhang XZ, Chen LY, Wan FN, Liu XH, Chen ZZ, Kong YY, Dai B

DOI: 10.1038/s41698-023-00481-x
Published: 2023 Dec 11
Container: NPJ precision oncology
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1038/s41698-023-00481-x,
  title = {A deep learning model, NAFNet, predicts adverse pathology and recurrence in prostate cancer using MRIs.},
  author = {Gu WJ and Liu Z and Yang YJ and Zhang XZ and Chen LY and Wan FN and Liu XH and Chen ZZ and Kong YY and Dai B},
  year = {2023},
  journal = {NPJ precision oncology},
  doi = {10.1038/s41698-023-00481-x},
  url = {https://doi.org/10.1038/s41698-023-00481-x}
}

RIS

TY  - JOUR
TI  - A deep learning model, NAFNet, predicts adverse pathology and recurrence in prostate cancer using MRIs.
AU  - Gu WJ
AU  - Liu Z
AU  - Yang YJ
AU  - Zhang XZ
AU  - Chen LY
AU  - Wan FN
AU  - Liu XH
AU  - Chen ZZ
AU  - Kong YY
AU  - Dai B
PY  - 2023
JO  - NPJ precision oncology
DO  - 10.1038/s41698-023-00481-x
UR  - https://doi.org/10.1038/s41698-023-00481-x
ER  -

APA

WJ, G., Z, L., YJ, Y., XZ, Z., LY, C., FN, W., XH, L., ZZ, C., YY, K., & B, D. (2023). A deep learning model, NAFNet, predicts adverse pathology and recurrence in prostate cancer using MRIs.. NPJ precision oncology. https://doi.org/10.1038/s41698-023-00481-x

Source records

pubmed · retrieved 2026-09-27T00:44:40.463Z