Peer-reviewedLicence not statedBiomedical Engineering Letters
CMA-Net: a lightweight cross-scale Mamba network for robust fetal monitoring in noisy environments
- 1Faculty of Science, Civil Aviation Flight University of China, Chengdu, 610000 China
Related
- Lightweight UAV-based object detection and tracking for intelligent oil and gas field safety monitoring
- TCLNet: A Thermal Contrast-Aware Lightweight Network for infrared object detection
- Subject-independent Parkinson's Disease Detection through A Lightweight Spectrotemporal Hybrid Network.
- Exercise and physiological monitoring in isolated, confined and extreme environments and space analogues: A scoping review.
- Lightweight convolutional neural network for UAV onboard visual anomaly detection and localization
BibTeX
@article{zhou2026cmanet,
title = {{CMA-Net: a lightweight cross-scale Mamba network for robust fetal monitoring in noisy environments}},
author = {Xinghe Zhou and Zihui Su and Qingshan You},
journal = {Biomedical Engineering Letters},
year = {2026},
month = aug,
doi = {10.1007/s13534-026-00612-w},
url = {https://doi.org/10.1007/s13534-026-00612-w},
}
RIS
TY - JOUR
TI - CMA-Net: a lightweight cross-scale Mamba network for robust fetal monitoring in noisy environments
AU - Xinghe Zhou
AU - Zihui Su
AU - Qingshan You
PY - 2026
DA - 2026/08/12
JO - Biomedical Engineering Letters
DO - 10.1007/s13534-026-00612-w
UR - https://doi.org/10.1007/s13534-026-00612-w
SN - 2093-9868
SN - 2093-985X
ER -