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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Bibliographic Details
Main Author: Torres, Helena R. (author)
Other Authors: Morais, Pedro (author), Fitze, Anne (author), Oliveira, Bruno (author), Veloso, Fernando (author), Rudiger, Mario (author), Fonseca, Jaime C. (author), Vilaça, João L. (author)
Format: article
Language:eng
Published: 2020
Subjects:
Cranial deformities
convolutional networks
deep learning
head growth
landmark detection
Online Access:http://hdl.handle.net/11110/1995
Country:Portugal
Oai:oai:ciencipca.ipca.pt:11110/1995

Internet

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

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