Anatomical Feature-Based Lung Ultrasound Image Quality Assessment Using Deep Convolutional Neural Network
- DOI
- 10.1109/ius52206.2021.9593662
- Published
- 2021-09-11
- Container
- 2021 IEEE International Ultrasonics Symposium (IUS)
- 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/ius52206.2021.9593662,
title = {Anatomical Feature-Based Lung Ultrasound Image Quality Assessment Using Deep Convolutional Neural Network},
author = {Surya M. Ravishankar and Ryosuke Tsumura and John W. Hardin and Beatrice Hoffmann and Ziming Zhang and Haichong K. Zhang},
year = {2021},
journal = {2021 IEEE International Ultrasonics Symposium (IUS)},
doi = {10.1109/ius52206.2021.9593662},
url = {https://doi.org/10.1109/ius52206.2021.9593662}
}RIS
TY - JOUR TI - Anatomical Feature-Based Lung Ultrasound Image Quality Assessment Using Deep Convolutional Neural Network AU - Surya M. Ravishankar AU - Ryosuke Tsumura AU - John W. Hardin AU - Beatrice Hoffmann AU - Ziming Zhang AU - Haichong K. Zhang PY - 2021 JO - 2021 IEEE International Ultrasonics Symposium (IUS) DO - 10.1109/ius52206.2021.9593662 UR - https://doi.org/10.1109/ius52206.2021.9593662 ER -
APA
Ravishankar, S. M., Tsumura, R., Hardin, J. W., Hoffmann, B., Zhang, Z., & Zhang, H. K. (2021). Anatomical Feature-Based Lung Ultrasound Image Quality Assessment Using Deep Convolutional Neural Network. 2021 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10.1109/ius52206.2021.9593662
Source records
- crossref · retrieved 2026-09-26T06:28:05.926Z