Fetal health state detection method based on parameters efficient ensembling of deep learning.
Saved in:
| Title: | Fetal health state detection method based on parameters efficient ensembling of deep learning. |
|---|---|
| Authors: | Yin W; Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, China., Shen Z; The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China., Cheng Z; The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China., Feng C; College of Computer Science and Technology and College of Software, Zhejiang University of Technology, Hangzhou, Zhejiang, China., Sun G; Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, China. |
| Source: | Frontiers in public health [Front Public Health] 2026 May 11; Vol. 14, pp. 1808284. Date of Electronic Publication: 2026 May 11 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2296-2565 |
|---|---|
| DOI: | 10.3389/fpubh.2026.1808284 |
