[HTML][HTML] Automated bone age assessment using artificial intelligence: the future of bone age assessment

BD Lee, MS Lee - Korean journal of radiology, 2021 - ncbi.nlm.nih.gov
Bone age assessments are a complicated and lengthy process, which are prone to inter-and
intra-observer variabilities. Despite the great demand for fully automated systems …

AI applications in musculoskeletal imaging: a narrative review

S Gitto, F Serpi, D Albano, G Risoleo, S Fusco… - European Radiology …, 2024 - Springer
This narrative review focuses on clinical applications of artificial intelligence (AI) in
musculoskeletal imaging. A range of musculoskeletal disorders are discussed using a …

Dual-channel capsule generative adversarial network optimized with golden eagle optimization for pediatric bone age assessment from hand X-ray image

J Jasper Gnana Chandran, R Karthick… - … Journal of Pattern …, 2023 - World Scientific
Bone age assessment (BAA) is mainly utilized for detecting the growth of pediatrics because
a large number of bone diseases occur at young age. Several algorithms related to BAAs …

Faster region-convolutional neural network oriented feature learning with optimal trained recurrent neural network for bone age assessment for pediatrics

S Deshmukh, A Khaparde - Biomedical Signal Processing and Control, 2022 - Elsevier
This paper tactics to develop the novel Tanner-Whitehouse 3 (TW3)-based automated Bone
Age Assessment (BAA) model for children with the assistance of Faster Region …

[HTML][HTML] Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks

S Koitka, MS Kim, M Qu, A Fischer, CM Friedrich… - Medical image …, 2020 - Elsevier
Pediatric endocrinologists regularly order radiographs of the left hand to estimate the degree
of bone maturation in order to assess their patients for advanced or delayed growth, physical …

[PDF][PDF] Age Estimation from Left-Hand Radiographs with Deep Learning Methods.

C Ozdemir, MA Gedik, Y Kaya - Traitement du Signal, 2021 - academia.edu
Accepted: 2 December 2021 Bone age is estimated in pediatric medicine for medical and
legal purposes. In pediatric medicine, it aids in the growth and development assessment of …

Prediction of Fishman's skeletal maturity indicators using artificial intelligence

H Kim, CS Kim, JM Lee, JJ Lee, J Lee, JS Kim… - Scientific reports, 2023 - nature.com
The present study aimed to evaluate the performance of automated skeletal maturation
assessment system for Fishman's skeletal maturity indicators (SMI) for the use in dental …

Automated bone age assessment with image registration using hand X-ray images

MA Zulkifley, SR Abdani, NH Zulkifley - Applied Sciences, 2020 - mdpi.com
One of the methods for identifying growth disorder is by assessing the skeletal bone age. A
child with a healthy growth rate will have approximately the same chronological and bone …

Bone age assessment based on deep neural networks with annotation-free cascaded critical bone region extraction

Z Li, W Chen, Y Ju, Y Chen, Z Hou, X Li… - Frontiers in Artificial …, 2023 - frontiersin.org
Bone age assessment (BAA) from hand radiographs is crucial for diagnosing endocrinology
disorders in adolescents and supplying therapeutic investigation. In practice, due to the …

Self-supervised attention mechanism for pediatric bone age assessment with efficient weak annotation

C Liu, H Xie, Y Zhang - IEEE Transactions on Medical Imaging, 2020 - ieeexplore.ieee.org
Pediatric bone age assessment (BAA) is a common clinical practice to investigate
endocrinology, genetic and growth disorders of children. Different specific bone parts are …