Automated detection and segmentation of pleural effusion on ultrasound images using an Attention U‐net
Libing Huang, Yingying Lin, Peng Cao, Zou Xia, Qian Qin, Zhanye Lin, Fengting Liang, Zhengyi Li
- ISSN / E-ISSN
- — / —
- DOI
- 10.1002/acm2.14231 ↗
- Volume · Issue · Pages
- 25 · 1 · e14231-e14231
- Publisher
- American Institute of Physics
- Article URL
- https://doi.org/10.1002/acm2.14231 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
13 Dec 2023
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 13 Dec 2023 | OpenAlex |
Keywords (as given): pleural effusion; ultrasound image segmentation; Attention U-Net; eFAST; automated detection; thoracic ultrasound; emergency diagnosis; deep learning
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
Based on the recorded HEC dataset applicable to the article's publication date. Listed in the HEC list for 2023–24.
- Journal
- Journal of Applied Clinical Medical Physics
- Publication date used
- 13 Dec 2023 (OpenAlex publication date)
- Applicable HEC period
- 2023–24 (version 1) · 01 Jul 2023 – 30 Sep 2024
- Category
- —
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- HJRS 2023-24 page 1990, row 14065
- Verification status
- Verified against source · last verified 23 Sep 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.