An artificial-vision- and statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems.

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作者： Yaroslava,Robles-Bykbaev ^[1] ; Salvador,Naya ^[2] ; Silvia,Díaz-Prado ^[3] ; Daniel,Calle-López ^[4] ; Vladimir,Robles-Bykbaev ^[1] ; Luis,Garzón ^[2] ; Clara,Sanjurjo-Rodríguez ^[2] ; Javier,Tarrío-Saavedra ^[3]

作者单位： Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, Departamento de Medicina, Universidade da Coruña, A Coruña, Spain. ^[1] Cátedra UNESCO UPS Tecnologías de apoyo para la Inclusión Educativa, Universidad Politécnica Salesiana, Cuenca, Ecuador. ^[2] Grupo de Investigación en Materiales (GiMaT), Universidad Politécnica Salesiana, Cuenca, Ecuador. ^[3] Grupo MODES, CITIC, ITMATI, Departamento de Matemáticas, Universidade da Coruña, Ferrol, Spain. ^[4]

关键词 Biomaterials Colagen type I Image segmentation Osteocytes Random forest Statistical learning Stem cells

DOI 10.7717/peerj.7233

PMID 31316873

发布时间 2020-10-01

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An artificial-vision- and statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems.

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An artificial-vision- and statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems.

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