Results 21 to 30 of about 11,569,533 (209)

Fully Automatic Model Based on SE-ResNet for Bone Age Assessment

open access: yesIEEE Access, 2021
Bone age assessment (BAA) based on hand X-ray imaging is a common clinical practice for investigating disorders and predicting the adult height of a child. However, the traditional manual method is time consuming and prone to obverse variability.
Jin He, Dan Jiang
semanticscholar   +1 more source

Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment

open access: yesKorean Journal of Radiology, 2021
Objective To evaluate the accuracy and clinical efficacy of a hybrid Greulich-Pyle (GP) and modified Tanner-Whitehouse (TW) artificial intelligence (AI) model for bone age assessment.
Kyu-Chong Lee   +8 more
semanticscholar   +1 more source

A Novel Shorthand Approach to Knee Bone Age Using MRI: A Validation and Reliability Study

open access: yesOrthopaedic Journal of Sports Medicine, 2021
Background: Bone-age determination remains a difficult process. An atlas for bone age has been created from knee-ossification patterns on magnetic resonance imaging (MRI), thereby avoiding the need for radiographs and associated costs, radiation exposure,
Blake C. Meza   +7 more
semanticscholar   +1 more source

Aging bone

open access: yesRussian Journal of Geriatric Medicine, 2020
This review article deals with the topic of changes in bone tissue in the process of aging of the body. Adipogenesis and osteogenesis are affected at the molecular level, proteins and genes are described, in which somatic mutation can occur during the aging process, resulting in both minor changes and an active loss of bone mineral density. The factors
N. V. Brailova   +3 more
openaire   +2 more sources

Human Bone Age Estimation of Carpal Bone X-Ray Using Residual Network with Batch Normalization Classification

open access: yesJOIV: International Journal on Informatics Visualization, 2023
Bone age is an index used by pediatric radiology and endocrinology departments worldwide to define skeletal maturity for medical and non-medical purposes.
Anisah Nabilah   +3 more
doaj   +1 more source

Development and validation of a formula for objective assessment of cervical vertebral bone age

open access: yesProgress in orthodontics, 2020
Background and aim Determination of skeletal maturity and bone age from cervical vertebrae has been well documented. Most methods described use subjective evaluation of morphological characteristics of cervical vertebrae and may be prone to variability ...
Raghavan Chandrasekar   +3 more
semanticscholar   +1 more source

Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem Using Convolutional Neural Networks with Attention Mechanism

open access: yesDiagnostics, 2021
Skeletal bone age assessment using X-ray images is a standard clinical procedure to detect any anomaly in bone growth among kids and babies. The assessed bone age indicates the actual level of growth, whereby a large discrepancy between the assessed and ...
M. A. Zulkifley   +5 more
semanticscholar   +1 more source

Bone Age Measurement in Pediatric Patients of Universitas Airlangga Hospital from January 2018 to December 2019

open access: yesJuxta: Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga, 2022
Highlights: 1. There was a significant relationship between bone age calculated by the Tanner Whitehouse II method (TW2-20) and chronological age. 2.
Dinda Chandra Yuliantari   +3 more
doaj   +1 more source

Automatic assessment of bone age in Taiwanese children: A comparison of the Greulich and Pyle method and the Tanner and Whitehouse 3 method

open access: yesKaohsiung Journal of Medical Sciences, 2020
Proper bone age assessment is crucial for the clinical diagnosis and evaluation of treatment responses. We investigated the applicability of Greulich and Pyle (GP), and Tanner and Whitehouse 3 (TW3) methods for children in modern Taiwan, using computer ...
Yi‐Ming Wang   +5 more
doaj   +1 more source

The RSNA Pediatric Bone Age Machine Learning Challenge.

open access: yesRadiology, 2019
Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challenge was created to show an application of machine learning (ML) and artificial intelligence (AI) in medical imaging, promote collaboration to catalyze AI ...
S. Halabi   +17 more
semanticscholar   +1 more source

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