Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images
- DOI
- 10.1177/14604582221084211
- Published
- 2022-01
- Container
- Health Informatics Journal
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/14604582221084211,
title = {Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images},
author = {Gede A. Pradipta and Retantyo Wardoyo and Aina Musdholifah and I Nyoman H. Sanjaya},
year = {2022},
journal = {Health Informatics Journal},
doi = {10.1177/14604582221084211},
url = {https://doi.org/10.1177/14604582221084211}
}RIS
TY - JOUR TI - Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images AU - Gede A. Pradipta AU - Retantyo Wardoyo AU - Aina Musdholifah AU - I Nyoman H. Sanjaya PY - 2022 JO - Health Informatics Journal DO - 10.1177/14604582221084211 UR - https://doi.org/10.1177/14604582221084211 ER -
APA
Pradipta, G. A., Wardoyo, R., Musdholifah, A., & Sanjaya, I. N. H. (2022). Machine learning model for umbilical cord classification using combination coiling index and texture feature based on 2-D Doppler ultrasound images. Health Informatics Journal. https://doi.org/10.1177/14604582221084211
Source records
- crossref · retrieved 2026-09-27T09:11:04.530Z