- Bone age assessment based on deep neural networks ...🔍
- Bone age assessment based on deep neural networks with ...🔍
- Deep Learning Approach for Bone Age Assessment Based on ...🔍
- Bone Age Assessment Based on Two|Stage Deep Neural Networks🔍
- Bone Age Assessment Based on Deep Convolution Neural Network🔍
- Bone age assessment based on deep learning architecture🔍
- Bone Age Assessment Based on Deep Convolutional Features and ...🔍
- Bone Age Assessment Method Based on Deep Convolutional ...🔍
Bone age assessment based on deep neural networks ...
Bone age assessment based on deep neural networks ... - Frontiers
We propose a novel two-stage deep learning method for BAA without any manual region annotation, which consists of a cascaded critical bone region extraction ...
Bone age assessment based on deep neural networks ... - PubMed
Bone age assessment (BAA) from hand radiographs is crucial for diagnosing endocrinology disorders in adolescents and supplying therapeutic ...
Bone age assessment based on deep neural networks with ...
We have proposed a two-step method for fully automatic bone age estimation based on X-ray images of hand bones without any annotation. The ...
Deep Learning Approach for Bone Age Assessment Based on ...
In recent years, due to the problems of high subjectivity and long assessment period in traditional artificial bone age assessment. Deep ...
Bone Age Assessment Based on Two-Stage Deep Neural Networks
We proposed an automatic bone age assessment method in this paper based on deep convolution network. This method includes two stages: mask generation network ...
Bone Age Assessment Based on Deep Convolution Neural Network
An end-to-end bone age assessment method based on deep convolutional neural networks is proposed, which uses deep learning to segment the hand region and ...
Bone age assessment based on deep learning architecture
This work developed and tested deep learning architecture for autonomous bone assessment, and designs a new deep convolution network (DCNN) model, ...
Bone Age Assessment Based on Deep Convolutional Features and ...
Bone age is an important metric to monitor children's skeleton development in pediatrics. As the development of deep learning DL-based bone age ...
Bone Age Assessment Method Based on Deep Convolutional ...
In this paper, the convolutional neural network based on deep learning theory is innovatively used to extract and classify the features of X-ray film of ...
External validation of deep learning-based bone-age software - Nature
Artificial intelligence (AI) is increasingly being used in bone-age (BA) assessment due to its complicated and lengthy nature.
(PDF) Bone age assessment based on deep learning architecture
Bone age assessment results of adolescents can provide a theoretical basis for their growth and development and height prediction. In this study, a deep ...
Bone age assessment based on deep convolution neural network ...
This paper presents an automatic assessment method, for bone age based on deep convolutional neural networks.
(PDF) Bone age assessment based on deep neural networks with ...
Pediatric bone age assessment (BAA) is a common clinical technique for evaluating children's endocrine, genetic, and growth disorders. However, ...
Skeletal bone age prediction based on a deep residual network with ...
Based on the residual network (ResNet) model in the deep learning algorithm, the average absolute error of the age of bones detected by the bone age assessment ...
Deeplasia: deep learning for bone age assessment validated on ...
The mean absolute difference of Deeplasia for the RSNA test set (based on the average of six different reference ratings) and dysplastic set ( ...
Bone Age Assessment Empowered with Deep Learning - MDPI
DL-based models and architectures are prominent in bone age segmentation, prediction, and classification. It has performed effectively in the field of medical ...
Pediatric Bone Age Assessment Using Deep Convolutional Neural ...
In this paper, we describe a fully automated deep learning approach to the problem of bone age assessment using data from Pediatric Bone Age Challenge ...
Computerized Bone Age Estimation Using Deep Learning Based ...
The purpose of this study is to evaluate the accuracy and efficiency of a new automatic software system for bone age assessment and to validate its feasibility ...
Bone age assessment from articular surface and epiphysis using ...
Bai, Skeletal bone age assessments for young children based on regression convolutional neural networks, Math. Biosci. Eng., 16 (2019), 6454–6466. [2], W ...
Deep learning for automated skeletal bone age assessment in X‐ray ...
2018. TLDR. A deep automated skeletal bone age assessment model based on convolutional neural networks and support vector regression using multiple kernel ...