Learning to map 2D ultrasound images into 3D space with minimal human annotation
In fetal neurosonography, aligning two-dimensional (2D) ultrasound scans to their corresponding plane in the three-dimensional (3D) space remains a challenging task. In this paper, we propose a convolutional neural network that predicts the position of 2D ultrasound fetal brain sca...
| Auteurs principaux: | , , , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Elsevier
2021
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