Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial Intelligence
- DOI
- 10.3390/diagnostics12081879
- Published
- 2022-08-03
- Container
- Diagnostics
- Publisher
- MDPI AG
- 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:10.3390/diagnostics12081879,
title = {Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial Intelligence},
author = {Quan Thanh Huynh and Phuc Hoang Nguyen and Hieu Xuan Le and Lua Thi Ngo and Nhu-Thuy Trinh and Mai Thi-Thanh Tran and Hoan Tam Nguyen and Nga Thi Vu and Anh Tam Nguyen and Kazuma Suda and Kazuhiro Tsuji and Tsuyoshi Ishii and Trung Xuan Ngo and Hoan Thanh Ngo},
year = {2022},
journal = {Diagnostics},
doi = {10.3390/diagnostics12081879},
url = {https://doi.org/10.3390/diagnostics12081879}
}RIS
TY - JOUR TI - Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial Intelligence AU - Quan Thanh Huynh AU - Phuc Hoang Nguyen AU - Hieu Xuan Le AU - Lua Thi Ngo AU - Nhu-Thuy Trinh AU - Mai Thi-Thanh Tran AU - Hoan Tam Nguyen AU - Nga Thi Vu AU - Anh Tam Nguyen AU - Kazuma Suda AU - Kazuhiro Tsuji AU - Tsuyoshi Ishii AU - Trung Xuan Ngo AU - Hoan Thanh Ngo PY - 2022 JO - Diagnostics DO - 10.3390/diagnostics12081879 UR - https://doi.org/10.3390/diagnostics12081879 ER -
APA
Huynh, Q. T., Nguyen, P. H., Le, H. X., Ngo, L. T., Trinh, N., Tran, M. T., Nguyen, H. T., Vu, N. T., Nguyen, A. T., Suda, K., Tsuji, K., Ishii, T., Ngo, T. X., & Ngo, H. T. (2022). Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial Intelligence. Diagnostics. https://doi.org/10.3390/diagnostics12081879
Source records
- crossref · retrieved 2026-09-26T18:34:09.779Z