Research Article
Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation
Table 5
Segmentation techniques’ performance based on patient data (kidney cancer data).
| Segmentation technique | Cancer area accuracy (%) | MSE | PSNR (dB) | Data loss |
| DWT | | | | | Haar | 91.0 | 102.7 | 35.2 | Normal | Daubechies | 89.5 | 104.5 | 34.3 | Normal | Wavelet Packet | 83.2 | 111.2 | 30.9 | Normal | Ridgelet | — | 109.9 | 30.3 | High | Curvelet | 96.2 | 88.2 | 29.5 | Normal |
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