Automated computer-aided design of cranial implants using a deep volumetric convolutional denoising autoencoder
Computer-aided Design (CAD) software enables the design of patient-specific cranial implants, but it often requires of a lot of manual user-interactions. This paper proposes a Deep Learning (DL) approach towards the automated CAD of cranial implants, allowing the design process to be less user-depen...
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| Other Authors: | , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/71391 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/71391 |