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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
INTI International University
2024
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| Subjects: | |
| 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 |
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| Summary: | 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, which aims for the clinical implementation of CNN models in supporting the
diagnostic process in the orthopedic field to minimize misdiagnosis due to human error. The
analysis results show that fracture classification using CNN has accuracy, precision, recall, and
F1-score reaching 99%, indicating highly accurate classification performance. This research aligns
with the 3rd SDG's goal of good health and well-being: to ensure a healthy life and support wellbeing.
The results of this research are expected to significantly contribute to the medical world,
especially in improving the accuracy and efficiency of fracture diagnosis and become a foundation
for developing more innovative diagnostic technologies to support more equitable and quality
health services globally. |
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