- Bone Age Assessment Based on Deep Convolutional Features and ...🔍
- Assessment of Bone Age Based on Hand Radiographs Using ...🔍
- Pediatric Bone Age Assessment Using Deep Convolutional Neural ...🔍
- Pediatric Bone Age Assessment using Deep Learning Models🔍
- Paediatric Bone Age Assessment Using Deep Convolutional Neural ...🔍
- A deep learning|based computer|aided diagnosis method of X|ray ...🔍
- Multi|Site Assessment of Pediatric Bone Age Using Deep Learning🔍
- A comparison of two artificial intelligence|based methods for ...🔍
A Deep Learning Method for Pediatric Bone Age Estimation using ...
Bone Age Assessment Based on Deep Convolutional Features and ...
Finally, to realize the fast computation speed and feature interaction, this paper proposes to use an extreme learning machine algorithm as the ...
Assessment of Bone Age Based on Hand Radiographs Using ...
(1) Objective: In this study, a regression-based multi-modal deep learning model was developed for use in bone age assessment (BAA) utilizing hand ...
Pediatric Bone Age Assessment Using Deep Convolutional Neural ...
Our approach utilizes several deep neural network architectures trained end-to-end. We use images of whole hands as well as specific parts of a ...
Pediatric Bone Age Assessment using Deep Learning Models
Pre-trained models like VGG-16, InceptionV3, XceptionNet, and MobileNet are used to assess the bone age of the input data, and their mean average errors are ...
Paediatric Bone Age Assessment Using Deep Convolutional Neural ...
In this paper, we describe a deep learning approach to the problem of bone age assessment using data from the 2017 Pediatric Bone Age Challenge organized by the ...
A deep learning-based computer-aided diagnosis method of X-ray ...
Bone age assessment using hand-wrist X-ray images is fundamental when diagnosing growth disorders of a child or providing a more ...
Multi-Site Assessment of Pediatric Bone Age Using Deep Learning
However, many state-of-The-Art methods rely on manual, fine-grained segmentation of phalanges and have not been validated on an external hospital site. The ...
A comparison of two artificial intelligence-based methods for ...
This study aimed to evaluate the validity of two artificial intelligence (AI)-based bone age assessment programs, BoneXpert and VUNO Med-Bone Age (VUNO), ...
Deep Learning-Based Pediatric Bone Age Estimation Using Hand ...
Conclusion: Skeletal maturity can be estimated with satisfactory accuracy using the DenseNet-121 model, and this method can help radiologists in quick and ...
Frontiers | Bone Age Assessment Based on Deep Convolutional ...
Bone age is an important metric to monitor children's skeleton development in pediatrics. As the development of deep learning DL-based bone ...
AE-BoNet: A Deep Learning Method for Pediatric Bone Age ... - OUCI
AE-BoNet: A Deep Learning Method for Pediatric Bone Age Estimation using an Unsupervised Pre- Trained Model. https://doi.org/10.31661/jbpe.v0i0.2304-1609 ·.
A Deep Learning Method for Pediatric Bone Age Estimation using ...
Then, the final network uses the trained encoder for bone age assessment using pediatric hand radiographs. Material and Methods. In this fundamental-applied ...
Determination of bone age using deep convolutional neural networks
In this paper, we describe a fully automated deep learning approach to the problem of bone age assessment using data from the 2017 Pediatric Bone Age Challenge ...
Pediatric Bone Age Assessment Using Deep Convolutional Neural ...
... deep learning approach to the problem of bone age ... skeletal development stages. Our approach outperforms other common methods for bone age assessment ...
An accurate pediatric bone age prediction model using deep ...
The study employed a variety of deep learning models and contrast conversion techniques to predict bone age. The training dataset consisted of pediatric ...
Bone Age Estimation and Prediction of Final Adult Height Using ...
Materials and Methods: A total of 1678 radiographs from 866 children, for which the interpretation results were consistent be- tween two ...
View of An Enhanced Pediatric Bone Age Estimation Model Based ...
Section 2 shows the related work is done in the pediatric bone age estimation model using the machine learning and metaheuristic algorithms. Section 3 shows ...
An Unsupervised Deep-Learning Method For Bone Age Assessment
When tested on 960 images from the RSNA pediatric bone age dataset, BA-CCAE achieved an accuracy of 76.15% for classifying images into 48-month intervals ...
Identifying Skeletal Maturity from X-rays using Deep Neural Networks
Pietka et al. [30] developed a bone age estimation method using a digital hand atlas. The preprocessing phase yielded epiphyseal/metaphyseal ...
Bone age estimation using deep learning and hand X-ray images.
Tanner and Whitehouse' and Greulich and Pyle's are some well known ones. The process entails manual comparison of subject's hand region images ...