Anthropometric Landmark Detection in 3D Head Surfaces using a Deep Learning Approach

Landmark labeling in 3D head surfaces is an important and routine task in clinical practice to evaluate head shape, namely to analyze cranial deformities or growth evolution. However, manual labeling is still applied, being a tedious and time-consuming task, highly prone to intra-/inter-observer var...

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Detalhes bibliográficos
Autor principal: Torres, Helena R. (author)
Outros Autores: Morais, Pedro (author), Fitze, Anne (author), Oliveira, Bruno (author), Veloso, Fernando (author), Rudiger, Mario (author), Fonseca, Jaime C. (author), Vilaça, João L. (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Cranial deformities
convolutional networks
deep learning
head growth
landmark detection
Texto completo:http://hdl.handle.net/11110/1995
País:Portugal
Oai:oai:ciencipca.ipca.pt:11110/1995

Texto Completo

http://hdl.handle.net/11110/1995

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