Multimodal machine learning in precision health: A sco** review
Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …
sector including utilization for clinical decision-support. Its use has historically been focused …
Bone age assessment empowered with deep learning: a survey, open research challenges and future directions
Deep learning is a quite useful and proliferating technique of machine learning. Various
applications, such as medical images analysis, medical images processing, text …
applications, such as medical images analysis, medical images processing, text …
Emerging applications of deep learning in bone tumors: current advances and challenges
X Zhou, H Wang, C Feng, R Xu, Y He, L Li… - Frontiers in oncology, 2022 - frontiersin.org
Deep learning is a subfield of state-of-the-art artificial intelligence (AI) technology, and
multiple deep learning-based AI models have been applied to musculoskeletal diseases …
multiple deep learning-based AI models have been applied to musculoskeletal diseases …
[PDF][PDF] Traditional and new methods of bone age assessment-an overview
M Prokop-Piotrkowska… - Journal of Clinical …, 2021 - jag.journalagent.com
Bone age is one of biological indicators of maturity used in clinical practice and it is a very
important parameter of a child's assessment, especially in paediatric endocrinology. The …
important parameter of a child's assessment, especially in paediatric endocrinology. The …
Pulmonary nodule classification based on heterogeneous features learning
C Tong, B Liang, Q Su, M Yu, J Hu… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Pulmonary cancer is one of the most dangerous cancers with a high incidence and mortality.
An early accurate diagnosis and treatment of pulmonary cancer can observably increase the …
An early accurate diagnosis and treatment of pulmonary cancer can observably increase the …
Ridge regression neural network for pediatric bone age assessment
Bone age is an important measure for assessing the skeletal and biological maturity of
children. Delayed or increased bone age is a serious concern for pediatricians, and needs …
children. Delayed or increased bone age is a serious concern for pediatricians, and needs …
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 …
Age Assessment (BAA) model for children with the assistance of Faster Region …
Rethinking Greulich and Pyle: a deep learning approach to pediatric bone age assessment using pediatric trauma hand radiographs
Purpose To develop a deep learning approach to bone age assessment based on a training
set of developmentally normal pediatric hand radiographs and to compare this approach …
set of developmentally normal pediatric hand radiographs and to compare this approach …
Texture analysis for the bone age assessment from MRI images of adolescent wrists in boys
Currently, bone age is assessed by X-rays. It enables the evaluation of the child's
development and is an important diagnostic factor. However, it is not sufficient to diagnose a …
development and is an important diagnostic factor. However, it is not sufficient to diagnose a …
A deep automated skeletal bone age assessment model via region-based convolutional neural network
B Liang, Y Zhai, C Tong, J Zhao, J Li, X He… - Future Generation …, 2019 - Elsevier
Skeletal bone age assessment is widely applied in growth prediction and auxiliary diagnosis
of medical problems. X-ray images of hands are observed in the evaluation of bone age …
of medical problems. X-ray images of hands are observed in the evaluation of bone age …