Cervix Ultrasound Texture Analysis to Differentiate Between Term and Preterm Birth Pregnancy: A Machine Learning Approach-Reference-Cited by-同舟云学术

Cervix Ultrasound Texture Analysis to Differentiate Between Term and Preterm Birth Pregnancy: A Machine Learning Approach

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Ultrasonics Symposium (IUS)
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Author:

Bustamante David¹,Yan Yan¹,Basij Maryam²,Gelareh Azin³,Hernandez-Andrade Edgar⁴,Shams Seyedmohammad⁵,Mehrmohammadi Mohammad⁶

Affiliation:

1. University of Rochester,Department of Biomedical Engineering,Rochester,United States

2. Wayne State University,Department of Biomedical Engineering,Detroit,United States

3. Islamic Azad University (IAU),Department of Computer Engineering,Tehran,Iran

4. McGovern Medical School, Health Science Center at Houston (UTHealth),Department of Obstetrics and Gynecology and Reproductive Sciences),Houston,United States

5. Henry Ford Health,Department of Neurology,Detroit,United States

6. University of Rochester,Department of Biomedical Engineering, Department of Obstetrics and Gyencology,Rochester,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9957114/9957143/09958755.pdf?arnumber=9958755

Reference26 articles.

1. Quantitative Ultrasound Assessment of Cervical Microstructure

2. Anisotropy and Spatial Heterogeneity in Quantitative Ultrasound Parameters: Relevance to the Study of the Human Cervix

3. Evolving cervical imaging technologies to predict preterm birth

4. Anterior cervical angle as a new biophysical ultrasound marker for prediction of spontaneous preterm birth

5. Evaluation of quantitative ultrasound tissue characterization of the cervix and cervical length in the prediction of premature delivery for patients with spontaneous preterm labor

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1. Deep learning algorithm for predicting preterm birth in the case of threatened preterm labor admissions using transvaginal ultrasound;Journal of Medical Ultrasonics;2023-12-15

2. Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction;Simplifying Medical Ultrasound;2023