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Found 4 papers, 1 papers with code
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
In this paper, we propose the first fully-automated solution to segment the whole fetal head in US volumes.
FetusMap: Fetal Pose Estimation in 3D Ultrasound
(i) This is the first work about 3D pose estimation of fetus in the literature.
Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes
In this paper, we propose an effective framework for simultaneous segmentation and landmark localization in prenatal ultrasound volumes.
Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections
Deep neural networks are state-of-the-art models for understanding the content of images, video and raw input data.
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