Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities.

Torres, Helena R; Oliveira, Bruno; Morais, Pedro; Fritze, Anne; Rüdiger, Mario; Fonseca, Jaime C; Vilaça, João L

Torres, Helena R; Oliveira, Bruno; Morais, Pedro; Fritze, Anne; Rüdiger, Mario; Fonseca, Jaime C; Vilaça, João L.

Afiliação

Torres HR; 2Ai - School of Technology, IPCA, Barcelos, Portugal; Algoritmi Center, School of Engineering, University of Minho, Guimarães, Portugal; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory, Braga
Oliveira B; 2Ai - School of Technology, IPCA, Barcelos, Portugal; Algoritmi Center, School of Engineering, University of Minho, Guimarães, Portugal; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's - PT Government Associate Laboratory, Braga
Morais P; 2Ai - School of Technology, IPCA, Barcelos, Portugal.
Fritze A; Department for Neonatology and Pediatric Intensive Care, University Hospital Carl Gustav Carus, TU Dresden, Germany.
Rüdiger M; Department for Neonatology and Pediatric Intensive Care, University Hospital Carl Gustav Carus, TU Dresden, Germany.
Fonseca JC; Algoritmi Center, School of Engineering, University of Minho, Guimarães, Portugal.
Vilaça JL; 2Ai - School of Technology, IPCA, Barcelos, Portugal.

J Biomed Inform ; 132: 104121, 2022 08.

Article em En | MEDLINE | ID: mdl-35750261

Assuntos

Inteligência Artificial; Modelos Estatísticos; Humanos; Lactente; Recém-Nascido

Palavras-chave

3D data augmentation; Deep learning; Head deformities; Morphable models; Motion transformation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Modelos Estatísticos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans / Infant / Newborn Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article

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