Cover Image

Convolutional Neural Network Model for Bone Fracture Detection and Classification in X-Ray Images

Bone fractures are one of the most common medical conditions worldwide. Proper and rapid diagnosis of fractures is essential to ensure effective treatment and reduce the risk of further complications. This study uses a Convolutional Neural Network (CNN) for fracture classification on X-ray images...

Full description

Saved in:

Bibliographic Details
Main Authors:	M. Fariz Fadillah, Mardianto, Elly, Pusporani, Fatiha Nadia, Salsabila, Alfi Nur, Nitasari
Format:	Article
Language:	English
Published:	INTI International University 2024
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software RC Internal medicine
Online Access:	http://eprints.intimal.edu.my/2025/1/jods2024_43.pdf http://eprints.intimal.edu.my/2025/ http://ipublishing.intimal.edu.my/jods.html
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

X-ray carpal bone segmentation and area measurement
by: Faisal, Amir, et al.
Published: (2022)

Automatic classification of medical x-ray images
by: Zare, M.R., et al.
Published: (2013)

Multi-level of feature extraction and classification for X-Ray medical image
by: Abdulrazaq, M, et al.
Published: (2018)

Multiclass classification for chest x-ray images based on lesion location in lung zones
by: Saad, Mohd Nizam, et al.
Published: (2015)

Study of VGG-19 depth in transfer learning for COVID-19 X-Ray image classification
by: Hamad, Qusay Shihab, et al.
Published: (2022)

Study of VGG-19 depth in transfer learning for COVID-19 X-Ray image classification
by: Hamad, Qusay Shihab, et al.
Published: (2022)

A convolution neural network-based seed classification system
by: Gulzar, Yonis, et al.
Published: (2020)

Digital dental x-ray database for caries screening
by: Rad, Abdolvahab Ehsani, et al.
Published: (2016)

XMIAR: X-ray medical image annotation and retrieval
by: Abdulrazzaq, M. M., et al.
Published: (2019)

Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks
by: Lee, Sue Han, et al.
Published: (2018)

Flower pollination algorithm for convolutional neural network training in vibration classification
by: Md. Esa, Md. Fadil, et al.
Published: (2022)

Flower pollination algorithm for convolutional neural network training in vibration classification
by: Md. Esa, Md. Fadil, et al.
Published: (2022)

Utilising VGG-16 of convolutional neural network for medical image classification
by: Ismail, Amelia Ritahani, et al.
Published: (2024)

An adaptive thresholding method for segmenting dental X-ray images
by: Razali, M. R. M., et al.
Published: (2017)

A densely interconnected convolutional neural network-based approach to identify COVID-19 from Chest X-ray Images
by: Alfaz, Nazia, et al.
Published: (2022)

Stress Classification using Deep Learning with 1D Convolutional Neural Networks
by: Abdulrazak Yahya, Saleh, et al.
Published: (2021)

Age estimation based on bone length using 12 regression models of left hand X-ray images for Asian children below 19 years old
by: Darmawan, Mohd. Faaizie, et al.
Published: (2015)

Predicting pneumonia and region detection from X-Ray images using deep neural network
by: Sheikh Md, Hanif Hossain, et al.
Published: (2021)

A comparison between average and max-pooling in convolutional neural network for scoliosis classification
by: Sabri, Nurbaity, et al.
Published: (2020)

A comparative performance of different convolutional neural network activation functions on image classification
by: Azhary, Muhammad Zulhazmi Rafiqi, et al.
Published: (2024)

Detecting covid-19 in x-ray images with deep learning
by: Aw, Ethel Miao Han
Published: (2023)

Predicting mortality risk of Covid-19 patients using chest X-rays.
by: Olowolayemo, Akeem, et al.
Published: (2023)

Human pose stream for multi-stream convolutional network in video action classification
by: Tan, Jackson Zhe Sheng
Published: (2018)

Deep convolutional generative adversarial networks for imbalance medical image classification.
by: Ismail, Amelia Ritahani, et al.
Published: (2023)

Use Word Cloud Image Of Web Page Text Content On Convolutional Neural Network (CNN) For Classification Of Web Pages
by: Siti Hawa, Apandi, et al.
Published: (2024)

Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification
by: Zainudin, Zanariah, et al.
Published: (2020)

Development of hybrid convolutional neural network and autoregressive integrated moving average on computed tomography image classification
by: Abdulrazak Yahya, Saleh, et al.
Published: (2023)

Covid-19 mortality risk prediction using small dataset of chest x-ray images
by: Olowolayemo, Akeem, et al.
Published: (2023)

Classification of atypical white blood cells in acute myeloid leukemia using a two-stage hybrid model based on deep convolutional autoencoder and deep convolutional neural network
by: Elhassan, Tusneem A., et al.
Published: (2023)

Convolutional neural network for skull recognition
by: Badr Lahasan, Badr Lahasan, et al.
Published: (2022)

Handwritten character recognition using convolutional neural network
by: Khandokar, I., et al.
Published: (2021)

A Convolutional Neural Network (CNN) Classification Model for Web Page: A Tool for Improving Web Page Category Detection Accuracy
by: Siti Hawa, Apandi, et al.
Published: (2023)

Classification of chest radiographs using novel anomalous saliency map and deep convolutional neural network
by: Md. Ali, Mohd. Adli, et al.
Published: (2021)

Web page classification using convolutional neural network (CNN) towards eliminating internet addiction
by: Siti Hawa, Apandi, et al.
Published: (2021)

Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network
by: Rosdiana, Shahril, et al.
Published: (2020)

RS_DCNN: a novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification
by: Boulila, W., et al.
Published: (2021)

RS-DCNN: a novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification
by: Boulila, W., et al.
Published: (2021)

Bioactivity prediction using convolutional neural network
by: Hamza, Hentabli, et al.
Published: (2020)

Automatic computer-aided caries detection from dental x-ray images using intelligent level set
by: Rad, Abdolvahab Ehsani, et al.
Published: (2018)

Detection of COVID-19 in chest X-ray images: a big data enabled deep learning approach
by: Awan, Mazhar Javed, et al.
Published: (2021)