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- Title
Bone Density Analysis and Osteoporosis Prediction Using Novel Convolutional Neural Network over Support Vector Machine Algorithm.
- Authors
A., Jagadeesh; Senthilkumar, R.
- Abstract
Aim: The aim of this study is to detect bone cancer by using the proposed Novel Convolutional Neural Network over Support Vector Machine Algorithm. Materials and Methods: Sample groups that are considered in this project is CT Scan dataset that can be classified into two, one for Convolutional Neural Network and other for Support Vector Machine, Dataset are tested using 233.9s for G-power to determine the sample size and for train set analysis. Nearly 215 CT Scan images have been used in each group for testing of cancer. Results: Support Vector Machine algorithm has better efficiency (87%) when compared to Convolutional neural Network algorithm efficiency (78%). Statistical significance difference (two-sided) is 0.01 (p<0.01). Conclusion: Support Vector Machine algorithm performed significantly better than the Convolutional Neural Network algorithm.
- Subjects
CONVOLUTIONAL neural networks; SUPPORT vector machines; ALGORITHMS; OSTEOPOROSIS; COMPUTED tomography
- Publication
Journal of Pharmaceutical Negative Results, 2022, Vol 13, p1612
- ISSN
0976-9234
- Publication type
Article
- DOI
10.47750/pnr.2022.13.S04.192