Extraction of Brain Tumor from MR Images Using One-Class Support Vector Machine

@article{Zhou2005ExtractionOB,
  title={Extraction of Brain Tumor from MR Images Using One-Class Support Vector Machine},
  author={Jiong Zhou and K. Chan and V. Chong and S. M. Krishnan},
  journal={2005 IEEE Engineering in Medicine and Biology 27th Annual Conference},
  year={2005},
  pages={6411-6414}
}
A novel image segmentation approach by exploring one-class support vector machine (SVM) has been developed for the extraction of brain tumor from magnetic resonance (MR) images. Based on one-class SVM, the proposed method has the ability of learning the nonlinear distribution of the image data without prior knowledge, via the automatic procedure of SVM parameters training and an implicit learning kernel. After the learning process, the segmentation task is performed. The proposed technique is… CONTINUE READING
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