Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem using Convolutional Neural Networks with Attention Mechanism

Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem using Convolutional Neural Networks with Attention Mechanism

Skeletal bone age assessment using X-ray images is a standard clinical procedure to detect any anomaly in bone growth among kids and babies. The assessed bone age indicates the actual level of growth, whereby a large discrepancy between the assessed and chronological age might point to a growth diso...

Full description

Bibliographic Details
Main Authors:	Mohd Asyraf Zulkifley, Nur Ayuni Mohamed, Siti Raihanah Abdani, Nor Azwan Mohamed Kamari, Asraf Mohamed Moubark, Ahmad Asrul Ibrahim
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Diagnostics
Subjects:	bone growth disorder X-ray image convolutional neural network attention mechanism regression network
Online Access:	https://www.mdpi.com/2075-4418/11/5/765

Similar Items

Group and Shuffle Convolutional Neural Networks with Pyramid Pooling Module for Automated Pterygium Segmentation
by: Siti Raihanah Abdani, et al.
Published: (2021-06-01)

Automated Bone Age Assessment with Image Registration Using Hand X-ray Images
by: Mohd Asyraf Zulkifley, et al.
Published: (2020-10-01)

COVID-19 Screening Using a Lightweight Convolutional Neural Network with Generative Adversarial Network Data Augmentation
by: Mohd Asyraf Zulkifley, et al.
Published: (2020-09-01)

Convolution-and Attention-Based Neural Network for Automated Sleep Stage Classification
by: Tianqi Zhu, et al.
Published: (2020-06-01)

Residual-Shuffle Network with Spatial Pyramid Pooling Module for COVID-19 Screening
by: Mohd Asyraf Zulkifley, et al.
Published: (2021-08-01)

Fusion of Attentional and Traditional Convolutional Networks for Facial Expression Recognition
by: Tin Nguyen, et al.
Published: (2021-06-01)

Attend It Again: Recurrent Attention Convolutional Neural Network for Action Recognition
by: Haodong Yang, et al.
Published: (2018-03-01)

Double attention recurrent convolution neural network for answer selection
by: Ganchao Bao, et al.
Published: (2020-05-01)

An Attention-Guided Spatiotemporal Graph Convolutional Network for Sleep Stage Classification
by: Chen, H., et al.
Published: (2022)

Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
by: Shervin Minaee, et al.
Published: (2021-04-01)

Attention-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Classification with Multi-Head Attention
by: Guangtao Xu, et al.
Published: (2021-04-01)

Fully Convolutional CaptionNet: Siamese Difference Captioning Attention Model
by: Ariyo Oluwasanmi, et al.
Published: (2019-01-01)

A Convolution Component-Based Method with Attention Mechanism for Travel-Time Prediction
by: Xiangdong Ran, et al.
Published: (2019-05-01)

Double-Branch Network with Pyramidal Convolution and Iterative Attention for Hyperspectral Image Classification
by: Hao Shi, et al.
Published: (2021-04-01)

Combining Multi-Perspective Attention Mechanism With Convolutional Networks for Monaural Speech Enhancement
by: Tian Lan, et al.
Published: (2020-01-01)

Scene Text Detection Using Attention with Depthwise Separable Convolutions
by: Hassan, E., et al.
Published: (2022)

An Interpretable Visual Attention Plug-in for Convolutions
by: Chih-Yang Lin, et al.
Published: (2020-01-01)

Skin Lesion Classification Using Densely Connected Convolutional Networks with Attention Residual Learning
by: Jing Wu, et al.
Published: (2020-12-01)

Action Recognition Using Attention-Joints Graph Convolutional Neural Networks
by: Tasweer Ahmad, et al.
Published: (2020-01-01)

Automatic Concrete Damage Recognition Using Multi-Level Attention Convolutional Neural Network
by: Hyun Kyu Shin, et al.
Published: (2020-12-01)

A Novel Channel and Temporal-Wise Attention in Convolutional Networks for Multivariate Time Series Classification
by: Xu Cheng, et al.
Published: (2020-01-01)

Improved Photoacoustic Imaging of Numerical Bone Model Based on Attention Block U-Net Deep Learning Network
by: Panpan Chen, et al.
Published: (2020-11-01)

Attention-Based SeriesNet: An Attention-Based Hybrid Neural Network Model for Conditional Time Series Forecasting
by: Yepeng Cheng, et al.
Published: (2020-06-01)

A Lightweight Convolutional Neural Network Based on Visual Attention for SAR Image Target Classification
by: Jiaqi Shao, et al.
Published: (2018-09-01)

Convolution-Based Neural Attention With Applications to Sentiment Classification
by: Jiachen Du, et al.
Published: (2019-01-01)

Multiple-Model Fully Convolutional Neural Networks for Single Object Tracking on Thermal Infrared Video
by: Mohd Asyraf Zulkifley, et al.
Published: (2018-01-01)

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks
by: Pablo Ribalta Lorenzo, et al.
Published: (2020-01-01)

ADVIAN: Alzheimer's Disease VGG-Inspired Attention Network Based on Convolutional Block Attention Module and Multiple Way Data Augmentation
by: Shui-Hua Wang, et al.
Published: (2021-06-01)

Convolutional Neural Network-Based Pavement Crack Segmentation Using Pyramid Attention Network
by: Wenjun Wang, et al.
Published: (2020-01-01)

Pedestrian Detection at Night in Infrared Images Using an Attention-Guided Encoder-Decoder Convolutional Neural Network
by: Yunfan Chen, et al.
Published: (2020-01-01)

Spectral-Spatial Attention Transformer with Dense Connection for Hyperspectral Image Classification
by: Dang, L., et al.
Published: (2022)

Calibrated Convolution with Gaussian of Difference
by: Li, C., et al.
Published: (2022)

Targeted Sentiment Classification Based on Attentional Encoding and Graph Convolutional Networks
by: Luwei Xiao, et al.
Published: (2020-02-01)

One-Dimensional Deep Attention Convolution Network (ODACN) for Signals Classification
by: Shuyuan Yang, et al.
Published: (2020-01-01)

Computer Vision-Based Bridge Damage Detection Using Deep Convolutional Networks with Expectation Maximum Attention Module
by: Wenting Qiao, et al.
Published: (2021-01-01)

A Multi-Channel and Multi-Spatial Attention Convolutional Neural Network for Prostate Cancer ISUP Grading
by: Bochen Yang, et al.
Published: (2021-05-01)

RRGCCAN: Re-Ranking via Graph Convolution Channel Attention Network for Person Re-Identification
by: Xiaoqiang Chen, et al.
Published: (2020-01-01)

Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction
by: Yin Hong, et al.
Published: (2020-01-01)

Skeleton-Based Emotion Recognition Based on Two-Stream Self-Attention Enhanced Spatial-Temporal Graph Convolutional Network
by: Jiaqi Shi, et al.
Published: (2021-12-01)

Restoring Raindrops Using Attentive Generative Adversarial Networks
by: Hee-Deok Yang
Published: (2021-07-01)