Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.
- DOI
- 10.1007/s00432-019-03098-5
- Published
- 2020 Jan
- Container
- Journal of cancer research and clinical 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.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1007/s00432-019-03098-5,
title = {Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.},
author = {Liu B and Chi W and Li X and Li P and Liang W and Liu H and Wang W and He J},
year = {2020},
journal = {Journal of cancer research and clinical oncology},
doi = {10.1007/s00432-019-03098-5},
url = {https://doi.org/10.1007/s00432-019-03098-5}
}RIS
TY - JOUR TI - Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect. AU - Liu B AU - Chi W AU - Li X AU - Li P AU - Liang W AU - Liu H AU - Wang W AU - He J PY - 2020 JO - Journal of cancer research and clinical oncology DO - 10.1007/s00432-019-03098-5 UR - https://doi.org/10.1007/s00432-019-03098-5 ER -
APA
B, L., W, C., X, L., P, L., W, L., H, L., W, W., & J, H. (2020). Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.. Journal of cancer research and clinical oncology. https://doi.org/10.1007/s00432-019-03098-5
Source records
- pubmed · retrieved 2026-09-25T04:56:53.462Z