5 Result(s)
within
Artificial Intelligence
Health Informatics
Pattern Recognition
**ngli Li
Conference Paper
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Chapter and Conference Paper
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer
Acquisition of the fetal abdominal standard plane (FASP) is crucial for prenatal ultrasound diagnosis. However, it requires a thorough knowledge of human anatomy and substantial experience. In this paper, we p...
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Chapter and Conference Paper
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
Accurate acquisition of fetal ultrasound (US) standard planes is one of the most crucial steps in obstetric diagnosis. The conventional way of standard plane acquisition requires a thorough knowledge of fetal ...
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Chapter and Conference Paper
Towards Automatic Semantic Segmentation in Volumetric Ultrasound
3D ultrasound is rapidly emerging as a viable imaging modality for routine prenatal examinations. However, lacking of efficient tools to decompose the volumetric data greatly limits its widespread. In this pap...
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Chapter and Conference Paper
FetusMap: Fetal Pose Estimation in 3D Ultrasound
The 3D ultrasound (US) entrance inspires a multitude of automated prenatal examinations. However, studies about the structuralized description of the whole fetus in 3D US are still rare. In this paper, we prop...
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Chapter and Conference Paper
A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification
In the practical application of medical image analysis, due to the different data distributions of source domain and target domain and the lack of the labels of target domain, domain adaptation for unsupervise...
