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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Detalhes bibliográficos
Autor principal: Morais, Ana (author)
Outros Autores: Egger, Jan (author), Alves, Victor (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2019
Assuntos:
Texto completo:http://hdl.handle.net/1822/71391
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/71391