Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis

The assessment of bone age and skeletal maturity and its comparison to chronological age is an important task in the medical environment for the diagnosis of pediatric endocrinology, orthodontics and orthopedic disorders, and legal environment in what concerns if an individual is a minor or not when...

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Bibliographic Details
Published in:	PloS one Vol. 14; no. 7; p. e0220242
Main Authors:	Dallora, Ana Luiza, Anderberg, Peter, Kvist, Ola, Mendes, Emilia, Diaz Ruiz, Sandra, Sanmartin Berglund, Johan
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 25.07.2019 Public Library of Science (PLoS)
Subjects:	Age Age Determination by Skeleton - instrumentation Age Determination by Skeleton - methods Age Determination by Skeleton - trends Age Factors Artificial intelligence Biology and Life Sciences Bone Development - physiology Bones Child Child Development - physiology Computer and Information Sciences Diagnostic imaging Endocrinology Health aspects History, 20th Century History, 21st Century Humans Image processing Intelligence services Learning algorithms Literature reviews Machine learning Machine Learning - trends Magnetic resonance Magnetic resonance imaging Medical imaging Medical imaging equipment Medicine and Health Sciences Meta-analysis Methods NMR Nuclear magnetic resonance Orthodontics Pediatrics Physical Examination - methods Physical Examination - statistics & numerical data Physical Examination - trends Quality assessment Quality control Radiation Radiation (Physics) Radiation effects Radiation exposure Radiographs Radiography Research and Analysis Methods Socio-economic aspects Systematic review Wrist Sweden
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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