Abdomen segmentation in 3D fetal ultrasound using CNN-powered deformable models
In this paper, voxel probability maps generated by a novel fovea fully convolutional network architecture (FovFCN) are used as additional feature images in the context of a segmentation approach based on deformable shape models. The method is applied to fetal 3D ultrasound image data aiming at a seg...
| Huvudupphovsmän: | , , , , , , , , |
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| Materialtyp: | Conference item |
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Springer
2017
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