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Placenta Segmentation
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논문
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Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
PlaNet-S: Automatic Semantic Segmentation of Placenta
Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series
Test-time augmentation-based active learning and self-training for label-efficient segmentation
Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI
Automatic Segmentation of the Placenta in BOLD MRI Time Series
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.