Enhancing Bone Fracture Detection: A Feature-Based Transfer Learning Approach Using DenseNet with SVM

Yang Luo, Xiaoyan Liu, Rui Song, Anwar P.P. Abdul Majeed*, Fan Zhang, Yifeng Xu, Andrew Huey Ping Tan, Wei Chen

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

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Abstract

Accurate classification of bone fractures is essential for effective treatment, yet traditional methods can be error-prone and time-consuming. Transfer learning, particularly feature-based transfer learning, has shown promise in improving medical image analysis. This study investigates the effectiveness of DenseNet architectures combined with SVM classifiers with default hy-perparameter for classifying hairline and pathological fractures. A dataset of 500 bone fracture x-ray images was utilized from open source for this study. Features were extracted using DenseNet121, DenseNet169, and Dense-Net201 models. The findings indicated that the combination of DenseNet169 and SVM yielded the highest overall accuracy and generalization capacity, with a notable proficiency in differentiating hairline fractures. The classifica-tion performance of DenseNet121-SVM and DenseNet201-SVM was robust, although significantly less successful in identifying hairline fractures. The exceptional performance of the DenseNet169-SVM model highlights its promise as a dependable tool for automated bone fracture classification in medical imaging. This work emphasizes the efficacy of integrating advanced transfer learning techniques with conventional classifiers to enhance diag-nostic precision, hence facilitating improvements in medical procedures. Ad-ditional investigation is advised to authenticate these discoveries using more extensive, practical clinical datasets.
Original languageEnglish
Title of host publicationInternational Conference on Intelligent Manufacturing and Robotics 2024
Subtitle of host publicationICiMR 2024
Publication statusAccepted/In press - 2024
Event2nd International Conference on Intelligent Manufacturing and Robotics (ICiMR) - Taicang, China
Duration: 22 Aug 202423 Aug 2024

Conference

Conference2nd International Conference on Intelligent Manufacturing and Robotics (ICiMR)
Country/TerritoryChina
Period22/08/2423/08/24

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