Browse State-of-the-Art › Placenta Segmentation
Placenta Segmentation
7 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
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Datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
7 shown of 7 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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9 Aug 2024 2 repositories listedThe proposed model adopts the segmentation from our fully automated model for initialization and is designed in a human-in-the-loop manner to achieve iterative improvements.
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10 Jul 2024 2 repositories listedThese models produce a segmentation from visual prompts provided to indicate the target region, which may offer a feasible solution for practical use.
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8 Dec 2023 1 repository listedIn this work, we propose a machine learning segmentation framework for placental BOLD MRI and apply it to segmenting each volume in a time series.
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5 Oct 2023 1 repository listedThe placenta plays a crucial role in fetal development.
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4 Aug 2022 1 repository listedIn this work, we propose a machine learning model based on a U-Net neural network architecture to automatically segment the placenta in BOLD MRI and apply it to segmenting each volume in a time series.
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29 Jun 2022 1 repository listedAutomatic segmentation of the placenta in fetal ultrasound (US) is challenging due to the (i) high diversity of placenta appearance, (ii) the restricted quality in US resulting in highly variable reference annotations,…
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3 Jul 2017 1 repository listedWe propose a deep learning-based interactive segmentation method to improve the results obtained by an automatic CNN and to reduce user interactions during refinement for higher accuracy.
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