Deep Learning for Automated Classification and Dynamic Risk Prediction of Retained Products of Conception on Postpartum Ultrasound

Authors

Jiaxin Cai (ORCID: https://orcid.org/0000-0002-8989-085X)

Institutions

Xiamen University of Technology (CN)

Publication Details

Journal: Journal of Ultrasound in Medicine
Published: 2026-07-27
DOI: https://doi.org/10.1002/jum.70394
Primary Topic: Neonatal and fetal brain pathology
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Natural Science Foundation of Fujian Province

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article

Deep Learning for Automated Classification and Dynamic Risk Prediction of Retained Products of Conception on Postpartum Ultrasound

Jiaxin Cai

Jul 27, 2026

Journal of Ultrasound in Medicine

Neonatal and fetal brain pathology

article

Deep Learning for Automated Classification and Dynamic Risk Prediction of Retained Products of Conception on Postpartum Ultrasound

Jiaxin Cai

July 27, 2026article en

Abstract

No abstract available for this paper.

Journal of Ultrasound in Medicine

Xiamen University of Technology (CN)

Natural Science Foundation of Fujian Province

Openalex Percentile: Top 6%

Neonatal and fetal brain pathology

DOI Source OpenAlex

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Deep Learning for Automated Classification and Dynamic Risk Prediction of Retained Products of Conception on Postpartum Ultrasound — Jiaxin Cai · Journal of Ultrasound in Medicine (2026) | TGRS Research Map | TGRS