Dimensions
DimensionsAl-Absi, H.R.H. and Samir, B.B. and Alhersh, T. and Sulaiman, S. (2013) On the combination of wavelet and curvelet for feature extraction to classify lung cancer on chest radiographs. In: UNSPECIFIED.
Full text not available from this repository.Abstract
This paper investigates the combination of multiresolution methods for feature extraction for lung cancer. The focus is on the impact of combining wavelet and curvelet on the accuracy of the disease diagnosis. The paper investigates feature extraction with two different levels of wavelet, two different wavelet functions and the combination of wavelet and curvelet to obtain a high classification rate. The findings suggest the potential of combining different multiresolution methods in achieving high accuracy rates. © 2013 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | cited By 3; Conference of 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 ; Conference Date: 3 July 2013 Through 7 July 2013; Conference Code:100170 |
| Uncontrolled Keywords: | Accuracy rate; Chest radiographs; Classification rates; Curvelets; Different wavelets; Disease diagnosis; Lung Cancer; Multiresolution methods, Biological organs; Diseases; Feature extraction, Diagnosis, algorithm; computer assisted diagnosis; human; image processing; lung tumor; procedures; radiography; sensitivity and specificity; thorax radiography; wavelet analysis, Algorithms; Diagnosis, Computer-Assisted; Humans; Image Processing, Computer-Assisted; Lung Neoplasms; Radiography, Thoracic; Sensitivity and Specificity; Wavelet Analysis |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 15:51 |
| Last Modified: | 09 Nov 2023 15:51 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/3389 |
Actions (login required)
- View Item