Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth-Reference-Cited by-同舟云学术

Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth

Published:2022 Issue: Volume: Page:48-59
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Dagle Alicia B.^ORCID,Liu Yucheng^ORCID,Crosby David^ORCID,Feltovich Helen,House Michael^ORCID,Yan Qi^ORCID,Myers Kristin M.^ORCID,Jambawalikar Sachin^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17117-8_5

Reference27 articles.

1. Cervical Length Education and Review Program. https://clear.perinatalquality.org

2. Labelbox: https://labelbox.com/

3. MONAI - Home. https://monai.io/

4. Preterm birth. https://www.who.int/news-room/fact-sheets/detail/preterm-birth

5. Blencowe, H., et al.: National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet 379(9832), 2162–2172 (2012). https://doi.org/10.1016/S0140-6736(12)60820-4

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1. Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey;IEEE Access;2024

2. The Comparison Analysis of the Cervical Features Between Second-and Third-Trimester Pregnancy in Ultrasound Images Using eXplainable AI;Lecture Notes in Computer Science;2023

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