Accelerating cardiovascular model building with convolutional neural networks.
The objective of this work is to reduce the user effort required for 2D segmentation when building patient-specific cardiovascular models using the SimVascular cardiovascular modeling software package. The proposed method uses a fully convolutional neural network (FCNN) to generate 2D cardiovascular...
| Published in: | Medical & Biological Engineering & Computing Vol. 57; no. 10; pp. 2319 - 2336 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Oct2019
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| Online Access: | View this record in EBSCOhost |