Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network
Abstract Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segmentation of abdominal organs has been made possible by the advent of the convolutional neural network. We utilized the U-Net, a 3D-patch-based convolutional neural network, and added graph-cut a...
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| Auteurs principaux: | , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2020
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| Accès en ligne: | https://doaj.org/article/b15c3fcf9dfe41dbb039a77861818eb7 |
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