Challenges related to artificial intelligence research in medical imaging and the importance of image analysis competitions
In recent years, there has been enormous interest in applying artificial intelligence (AI) to
radiology. Although some of this interest may have been driven by exaggerated …
radiology. Although some of this interest may have been driven by exaggerated …
[HTML][HTML] Bone age assessment with various machine learning techniques: a systematic literature review and meta-analysis
BACKGROUND The assessment of bone age and skeletal maturity and its comparison to
chronological age is an important task in the medical environment for the diagnosis of …
chronological age is an important task in the medical environment for the diagnosis of …
[HTML][HTML] Age-group determination of living individuals using first molar images based on artificial intelligence
Dental age estimation of living individuals is difficult and challenging, and there is no
consensus method in adults with permanent dentition. Thus, we aimed to provide an …
consensus method in adults with permanent dentition. Thus, we aimed to provide an …
RAGCN: Region aggregation graph convolutional network for bone age assessment from X-ray images
Rapid and accurate measurement of bone age from hand X-ray images is a significant task
for children's maturity assessment and metabolic disorders diagnosis. With the development …
for children's maturity assessment and metabolic disorders diagnosis. With the development …
An ensemble-based densely-connected deep learning system for assessment of skeletal maturity
S Wang, X Wang, Y Shen, B He, X Zhao… - … on Systems, Man …, 2020 - ieeexplore.ieee.org
Assessment of skeletal maturity is important for a clinician to make a decision of the most
appropriate treatment on various skeletal disorders. This task is very challenging when …
appropriate treatment on various skeletal disorders. This task is very challenging when …
[HTML][HTML] Urban poverty maps-From characterising deprivation using geo-spatial data to capturing deprivation from space
Most earth observation (EO) approaches only yield a binary delineation of deprived/non-
deprived areas–an oversimplified characterisation with little information inferred regarding …
deprived areas–an oversimplified characterisation with little information inferred regarding …
[HTML][HTML] 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 …
Fully automatic model based on se-resnet for bone age assessment
J He, D Jiang - IEEE access, 2021 - ieeexplore.ieee.org
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 …
investigating disorders and predicting the adult height of a child. However, the traditional …
[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 …
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 …