Article

Semi-Supervised Fetal Anomaly Detection Using Deep Learning Based on Nuchal Translucency and Maternal Factors

2026-02-09

Abstract excerpt

<title>Abstract</title> <p>Background Early detection of fetal anomalies during prenatal screening is vital for reducing maternal-fetal complications. However, the scarcity of labeled datasets and the presence of "noisy" clinical labels pose significant challenges for traditional supervised methods. In this work, we propose a two-stage semi-supervised deep learning framework designed to minimize reliance on exte...

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Literature Corpus work: ba6aa5f8-1d47-5b95-93f6-0892722cee8b
DOI: 10.21203/rs.3.rs-8521430/v1

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