Research Article
Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI
Table 1
Comparisons of PM and CR between the segmentation performance obtained by the proposed SVM method and other methods in literature.
| Studies | Algorithm | CR | PM |
| Huang et al. [5] | HMRF | 0.72 | 0.85 | Ritthipravat et al. [6] | Probabilistic Function | 0.52 | 0.85 | Zhou et al. [7] | SVM | 0.72 ± 0.06 | 0.79 ± 0.07 | Our proposed method | SVM | 0.79 ± 0.09 | 0.86 ± 0.08 |
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Corresponding ratio. Percent match. Hidden Markov random field. Support vector machine.
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