[A multi-feature fusion-based model for fetal orientation classification from intrapartum ultrasound videos].

The multi-feature fusion model proposed in this study can efficiently and accurately classify fetal orientation in intrapartum ultrasound videos.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-07-20
DOI
https://doi.org/10.12122/j.issn.1673-4254.2025.07.24
Primary Topic
Regional Development and Environment
Type
article
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[A multi-feature fusion-based model for fetal orientation classification from intrapartum ultrasound videos].

Xiaofeng Yang, Jun Wang, Peizhong Liu, Shaozheng He et al.
PubMed
Regional Development and Environment
article

[A multi-feature fusion-based model for fetal orientation classification from intrapartum ultrasound videos].

Xiaofeng Yang, Jun Wang, Peizhong Liu, Shaozheng He, Shijie Zhang, Guorong Lyu, Ziyu Zheng, Shengjie Wu
article en

Abstract

The multi-feature fusion model proposed in this study can efficiently and accurately classify fetal orientation in intrapartum ultrasound videos.

PubMedVol. 45(7)
Huaqiao University (CN), Fujian Medical University (CN), Second Affiliated Hospital of Fujian Medical University (CN)
Regional Development and Environment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.