Objective interpretation of intrapartum cardiotocography images using attention-guided convolutional neural networks
This study presents an objective method for intrapartum CTG analysis. By integrating signal standardization with automated feature learning, the proposed approach addresses the inherent subjectivity of manual interpretation. It serves as a potential clinical decision support tool to assist in the consistency of fetal status assessment.
Authors
- Shiling Jiang
- Qingshan You (ORCID: https://orcid.org/0000-0002-1806-1560)
- Xince Wang (ORCID: https://orcid.org/0009-0007-0055-5208)
- T. Qiu (ORCID: https://orcid.org/0000-0002-8369-6626)
- Xinghe Zhou (ORCID: https://orcid.org/0000-0002-1027-4801)
- Chunxia Lin
- Litao Wang
- Jun Zhou
- Li Feng
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Civil Aviation Flight University of China (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2026-02-18
- DOI
- https://doi.org/10.3389/fped.2026.1717012
- Primary Topic
- Neonatal and fetal brain pathology
- Type
- article
- Field-Weighted Citation Impact
- 0.00