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Research status of artificial intelligence and bone age assessment based on deep learning / 中华实用儿科临床杂志
Chinese Journal of Applied Clinical Pediatrics ; (24): 394-397, 2023.
Article Dans Chinois | WPRIM | ID: wpr-990051
ABSTRACT
Bone age can objectively reflect the human body growth and accurately assess the physical development level.Bone age assessment plays an important role in the growth and development, disease diagnosis and the monitoring of therapeutic efficacy in children and adolescents.In recent years, the artificial intelligence technology has been developed continuously.Applying artificial intelligence technology is expected to realize the automatic assessment of bone age.At present, the artificial intelligence technology of bone age assessment is mainly based on the deep learning (DL) algorithm.Although there have been many research on DL and bone age assessment, most are still in the experimental stage.This study reviews the research and progress of artificial intelligence technology based on DL applied to bone age assessment, aiming to provide reference and research ideas for relevant staff.

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) langue: Chinois Texte intégral: Chinese Journal of Applied Clinical Pediatrics Année: 2023 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) langue: Chinois Texte intégral: Chinese Journal of Applied Clinical Pediatrics Année: 2023 Type: Article