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Develop and evaluate deep learning models for automated MRI placental segmentation and volumetry

Yechao Huang Joe Sarah Luciny Yumin Hu Deng-Fa Yang Pengjun Chen Zhanning Hu Ze-Liu Du Li-Yan Jiang Yong-Jin Zhou S. Xia Zu-Fei Wang Chen-Ying Lu Jiansong Ji
Aug 2026 · Chinese Journal of Academic Radiology · Vol 9, pp. 162 - 177 · 0 citations · 58 references

TL;DR

The segmentation and volumetry results of the proposed CBGU-Net model on the dataset of T2-weighted images demonstrate promising placental segmentation performance and indicate its potential for clinical application.

DOI Semantic Scholar
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