Papers Placenta Segmentation
“Placenta Segmentation” 태그가 달린 논문 11편 · 필터 해제
PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound
Placenta volume measured from 3D ultrasound (3DUS) images is an important tool for tracking the growth trajectory and is associated with pregnancy outcomes. Manual segmentation is the gold standard, but it is time-consum…
Interactive SegmentationPlacenta SegmentationSegmentationInteractive Segmentation Model for Placenta Segmentation from 3D Ultrasound images
Placenta volume measurement from 3D ultrasound images is critical for predicting pregnancy outcomes, and manual annotation is the gold standard. However, such manual annotation is expensive and time-consuming. Automated …
Interactive SegmentationPlacenta SegmentationSegmentationAutomatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
Purpose: Ultrasound is the most commonly used medical imaging modality for diagnosis and screening in clinical practice. Due to its safety profile, noninvasive nature and portability, ultrasound is the primary imaging mo…
Image SegmentationPlacenta SegmentationSegmentationSemantic SegmentationPlaNet-S: Automatic Semantic Segmentation of Placenta
[Purpose] To develop a fully automated semantic placenta segmentation model that integrates the U-Net and SegNeXt architectures through ensemble learning. [Methods] A total of 218 pregnant women with suspected placental …
Ensemble LearningPlacenta SegmentationSegmentationSemantic SegmentationShape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series
Blood oxygen level dependent (BOLD) MRI time series with maternal hyperoxia can assess placental oxygenation and function. Measuring precise BOLD changes in the placenta requires accurate temporal placental segmentation …
Placenta SegmentationSegmentationTime SeriesConsistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series
The placenta plays a crucial role in fetal development. Automated 3D placenta segmentation from fetal EPI MRI holds promise for advancing prenatal care. This paper proposes an effective semi-supervised learning method fo…
Decision MakingPlacenta SegmentationSegmentationTime SeriesTest-time augmentation-based active learning and self-training for label-efficient segmentation
Deep learning techniques depend on large datasets whose annotation is time-consuming. To reduce annotation burden, the self-training (ST) and active-learning (AL) methods have been developed as well as methods that combi…
Active LearningPlacenta SegmentationSegmentationContour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI
Volumetric measurements of fetal structures in MRI are time consuming and error prone and therefore require automatic segmentation. Placenta segmentation and accurate fetal brain segmentation for gyrification assessment …
Brain SegmentationPlacenta SegmentationSegmentationAutomatic Segmentation of the Placenta in BOLD MRI Time Series
Blood oxygen level dependent (BOLD) MRI with maternal hyperoxia can assess oxygen transport within the placenta and has emerged as a promising tool to study placental function. Measuring signal changes over time requires…
Placenta SegmentationTime SeriesTime Series AnalysisPlacenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View
Automatic 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, a…
Image SegmentationMulti-Task LearningPlacenta SegmentationSegmentation+1DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Accurate medical image segmentation is essential for diagnosis, surgical planning and many other applications. Convolutional Neural Networks (CNNs) have become the state-of-the-art automatic segmentation methods. However…
Brain Tumor SegmentationImage SegmentationInteractive SegmentationMedical Image Segmentation+4