A minority class balanced approach using the DCNN-LSTM method to detect human wrist fracture

T Rashid, MS Zia, T Meraj, HT Rauf, S Kadry - Life, 2023 - mdpi.com
The emergency department of hospitals receives a massive number of patients with wrist
fracture. For the clinical diagnosis of a suspected fracture, X-ray imaging is the major …

[PDF][PDF] Deep learning based classification of wrist cracks from X-ray imaging

J Jabbar, M Hussain, H Malik, A Gani… - CMC-COMPUTERS …, 2022 - cdn.techscience.cn
Wrist cracks are the most common sort of cracks with an excessive occurrence rate. For the
routine detection of wrist cracks, conventional radiography (X-ray medical imaging) is used …

Fracture detection in wrist X-ray images using deep learning-based object detection models

F Hardalaç, F Uysal, O Peker, M Çiçeklidağ, T Tolunay… - Sensors, 2022 - mdpi.com
Hospitals, especially their emergency services, receive a high number of wrist fracture
cases. For correct diagnosis and proper treatment of these, images obtained from various …

[HTML][HTML] Artificial intelligence diagnostic model for multi-site fracture X-ray images of extremities based on deep convolutional neural networks

Y Xie, X Li, F Chen, R Wen, Y Jing, C Liu… - Quantitative Imaging in …, 2024 - ncbi.nlm.nih.gov
Background The rapid and accurate diagnosis of fractures is crucial for timely treatment of
trauma patients. Deep learning, one of the most widely used forms of artificial intelligence …

Analysis of tibia-fibula bone fracture using deep learning technique from X-ray images

W Abbas, SM Adnan, MA Javid… - … Journal for Multiscale …, 2021 - dl.begellhouse.com
Deep learning technologies have become a leading tool for disease diagnosis supporting
and timely treatment. Many approaches have been developed for the detection and …

Lower leg bone fracture detection and classification using faster RCNN for X-rays images

W Abbas, SM Adnan, MA Javid… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
Machine learning techniques are proven as a vital tool for the diagnosis and treatment of
disease. The researchers are actively exploring new technology that may strengthen the …

A two-stage method for bone X-rays abnormality detection using mobileNet network

H El-Saadawy, M Tantawi, HA Shedeed… - Proceedings of the …, 2020 - Springer
Abnormality in bones is considered to be from the critical medical cases, since the wrong
diagnosis could lead to bad side effects. Moreover, exhausted and over loaded doctors may …

Bone fracture detection and classification using deep learning approach

DP Yadav, S Rathor - … Conference on Power Electronics & IoT …, 2020 - ieeexplore.ieee.org
The bone is a major component of the human body. Bone provides the ability to move the
body. The bone fractures are common in the human body. The doctors use the X-ray image …

Classification of binary fracture using cnn

SM Chittajallu, NLD Mandalaneni… - … global conference for …, 2019 - ieeexplore.ieee.org
One of the major problems faced by any living organism since infancy are Musculoskeletal
Injuries. To keep it quite simple musculoskeletal injuries are a range of disorders involving …

A deep learning based fracture detection in arm bone X-ray images

HP Nguyen, TP Hoang… - … conference on multimedia …, 2021 - ieeexplore.ieee.org
A large number of arm fracture-related injuries are reported in hospitals and clinics around
the world. In this paper, we propose a novel deep learning based fracture detection in arm …