Results 51 to 60 of about 11,569,533 (209)
Background and objectiveWith a worldwide trend to earlier age of onset of puberty, the prevalence of early-onset puberty (EP) among girls has increased. The impact of EP on the pattern of linear growth and bone maturation is unclear.
Shuangyi Liu +8 more
doaj +1 more source
Factors associated with Advanced Bone Age in Overweight and Obese Children
Purpose Obese children may often present with advanced bone age. We aimed to evaluate the correlation between factors associated with childhood obesity and advanced bone age. Methods We enrolled 232 overweight or obese children.
Min-su Oh +5 more
semanticscholar +1 more source
In age determination, different methods aiming to obtain the closest result to chronological age have been investigated so far. The most commonly used one among these is the radiological method, which is usually used to evaluate the developmental stages ...
Fatma Saraç +5 more
doaj +1 more source
Age Prediction from Low Resolution, Dual-Energy X-ray Images Using Convolutional Neural Networks
Age prediction from X-rays is an interesting research topic important for clinical applications such as biological maturity assessment. It is also useful in many other practical applications, including sports or forensic investigations for age ...
Kamil Janczyk +4 more
doaj +1 more source
A Novel Formula Based Model for Predicting Skeletal Maturation in Maharashtra
Aim: To develop and validate a reliable, objective method for cervical vertebral bone age (CVBA) estimation using lateral cephalograms in a Maharashtrian population.
Prachi Gaonkar +7 more
doaj +1 more source
IntroductionAutomated bone age assessment has recently become increasingly popular. The aim of this study was to assess the agreement between automated and manual evaluation of bone age using the method according to Tanner-Whitehouse (TW3) and Greulich ...
Klara Maratova +7 more
doaj +1 more source
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks [PDF]
Skeletal bone age assessment is a common clinical practice to diagnose endocrine and metabolic disorders in child development. In this paper, we describe a fully automated deep learning approach to the problem of bone age assessment using data from the ...
V. Iglovikov +3 more
semanticscholar +1 more source
Automated Risser Grade Assessment of Pelvic Bones Using Deep Learning
(1) Background: This study aimed to develop a deep learning model using a convolutional neural network (CNN) to automate Risser grade assessment from pelvic radiographs.
Jeoung Kun Kim +2 more
doaj +1 more source
Fully Automated Deep Learning System for Bone Age Assessment
Skeletal maturity progresses through discrete phases, a fact that is used routinely in pediatrics where bone age assessments (BAAs) are compared to chronological age in the evaluation of endocrine and metabolic disorders.
Hyunkwang Lee +7 more
semanticscholar +1 more source
En la práctica odontológica se hace necesario evaluar la maduración esquelética, para la toma de decisiones en tratamientos ortodóncicos y ortognáticos, idealmente en las radiografías cefalométricas que se adquieren habitualmente.
Cristina Zurita F, Arturo Fuentes S
doaj +1 more source

