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Age Determination by Skeleton

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Modernization of bone age assessment: comparing the accuracy and reliability of an artificial intelligence algorithm and shorthand bone age to Greulich and Pyle.

Skeletal radiology Sep 1, 2020
UNLABELLED: Greulich and Pyle (GP) is one of the most common methods to determine bone age from hand radiographs. In recent years, new methods were developed to increase the efficiency in bone age analysis like the shorthand bone age (SBA) and automa...
Humans Male Radiography Age Determination by Skeleton Shorthand Artificial Intelligence Female Reproducibility of Results
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Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models.

Dento maxillo facial radiology Jul 1, 2020
OBJECTIVES: This study aimed to develop five different supervised machine learning (ML) classifier models using artificial intelligence (AI) techniques and to compare their performance for cervical vertebral maturation (CVM) analysis. A clinical deci...
Cervical Vertebrae Age Determination by Skeleton Artificial Intelligence Machine Learning Cephalometry Humans
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Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists.

Pediatric radiology Apr 1, 2020
BACKGROUND: Recently developed convolutional neural network (CNN) models determine bone age more accurately than radiologists.
Infant Adolescent Child, Preschool Retrospective Studies Female Male Age Determination by Skeleton Finger Phalanges Child Image Processing, Computer-Assisted Datasets as Topic Humans Neural Networks, Computer
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Research Progress and Prospect of Machine Learning in Bone Age Assessment.

Fa yi xue za zhi Feb 1, 2020
Bone age assessment has always been one of the key issues and difficulties in forensic science. With the gradual development of machine learning in many industries, it has been widely introduced to imageology, genomics, oncology, pathology, surgery a...
Age Determination by Skeleton Humans Machine Learning
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Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method.

European radiology experimental Jan 28, 2020
BACKGROUND: Bone age (BA) assessment performed by artificial intelligence (AI) is of growing interest due to improved accuracy, precision and time efficiency in daily routine. The aim of this study was to investigate the accuracy and efficiency of a ...
Humans Artificial Intelligence Hand Germany Age Determination by Skeleton Child Radiography Wrist Retrospective Studies Adolescent Child, Preschool
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Automated age estimation from MRI volumes of the hand.

Medical image analysis Dec 1, 2019
Highly relevant for both clinical and legal medicine applications, the established radiological methods for estimating unknown age in children and adolescents are based on visual examination of bone ossification in X-ray images of the hand. Our group...
Magnetic Resonance Imaging Datasets as Topic Age Determination by Skeleton Hand Bones Adolescent Child Humans Imaging, Three-Dimensional Machine Learning
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Skeletal bone age assessments for young children based on regression convolutional neural networks.

Mathematical biosciences and engineering : MBE Jul 12, 2019
Pediatricians and pediatric endocrinologists utilize Bone Age Assessment (BAA) for in-vestigations pertaining to genetic disorders, hormonal complications and abnormalities in the skeletal system maturity of children. Conventional methods dating back...
Carpal Bones Humans Neural Networks, Computer Algorithms Reproducibility of Results Young Adult Female Infant, Newborn Image Processing, Computer-Assisted Regression Analysis Data Interpretation, Statistical Adolescent X-Rays Male Observer Variation Child, Preschool Age Determination by Skeleton Infant Pattern Recognition, Automated Child China
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Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.

IEEE journal of biomedical and health informatics Jul 1, 2019
Age estimation from radiologic data is an important topic both in clinical medicine as well as in forensic applications, where it is used to assess unknown chronological age or to discriminate minors from adults. In this paper, we propose an automati...
Clavicle Adolescent Young Adult Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Tooth Adult Neural Networks, Computer Age Determination by Skeleton Male Female Hand Bones
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Incorporated region detection and classification using deep convolutional networks for bone age assessment.

Artificial intelligence in medicine Jun 1, 2019
Bone age assessment plays an important role in the endocrinology and genetic investigation of patients. In this paper, we proposed a deep learning-based approach for bone age assessment by integration of the Tanner-Whitehouse (TW3) methods and deep c...
Neural Networks, Computer Child, Preschool Female Child Infant Age Determination by Skeleton Humans Infant, Newborn Deep Learning Male Adolescent
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A multi-scale data fusion framework for bone age assessment with convolutional neural networks.

Computers in biology and medicine May 1, 2019
Bone age assessment (BAA) has various clinical applications such as diagnosis of endocrine disorders and prediction of final adult height for adolescents. Recent studies indicate that deep learning techniques have great potential in developing automa...
Absorptiometry, Photon Humans Deep Learning Adult Age Determination by Skeleton Adolescent Image Interpretation, Computer-Assisted
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