Bone Fracture Detection Using KNN Classifier
Abstract & Details
Research Area
Image Processing
Keywords
Segmentation
K-means Clustering
feature extraction
Classification
K-nearest neighbor classifier
Abstract
Detecting bone fractures through digital image processing is an innovative approach that leverages the power of technology to enhance medical diagnostics. It is an application of image segmentation, is to extract anatomical structure from medical images. Segmentation, feature extraction and classification is to be done to improve the performance of the process. The proposed model takes the input from the dataset. The images from dataset are get resize then the segmentation is implemented by means of K-means Clustering, feature extraction is based on the Texture features and classification is based on k-nearest neighbor classifier. The efficiency and the accuracy of the proposed method are evaluated through testing images from the dataset Fracture Atlas.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Shaik Baji | Vasireddy Venkatadri Institute of Technology |
| 2 | Thota Daniel Aneesh Joy | Vasireddy Venkatadri Institute of Technology |
| 3 | Yadavalli Avinash | Vasireddy Venkatadri Institute of Technology |
| 4 | Shaik Japhar | Vasireddy Venkatadri Institute of Technology |
| 5 | Dr. N. Durga Rao | Vasireddy Venkatadri Institute of Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Baji, Shaik, Joy, Thota Daniel Aneesh, Avinash, Yadavalli, Japhar, Shaik, & Rao, Dr. N. Durga (2024). Bone Fracture Detection Using KNN Classifier. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 1435-1442.
MLA Style
Baji, Shaik, et al. "Bone Fracture Detection Using KNN Classifier." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 1435-1442.
IEEE Style
Shaik Baji, Thota Daniel Aneesh Joy, Yadavalli Avinash, Shaik Japhar, and Dr. N. Durga Rao, "Bone Fracture Detection Using KNN Classifier," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 1435-1442, 2024.
Vancouver Style
Baji Shaik, Joy Thota Daniel Aneesh, Avinash Yadavalli, Japhar Shaik, Rao Dr. N. Durga. Bone Fracture Detection Using KNN Classifier. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):1435-1442.
Harvard Style
Baji, Shaik, Joy, Thota Daniel Aneesh, Avinash, Yadavalli, Japhar, Shaik, & Rao, Dr. N. Durga (2024) 'Bone Fracture Detection Using KNN Classifier', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 1435-1442.
Chicago Style
Baji, Shaik, et al. "Bone Fracture Detection Using KNN Classifier." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1435-1442.
Turabian Style
Baji, Shaik, et al. "Bone Fracture Detection Using KNN Classifier." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1435-1442.
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