A Hybrid Approach of Using Symmetry Technique for Brain Tumor Segmentation

Table 1

Summary of pros and cons of supervised, unsupervised, and registration based segmentation.

	Supervised segmentation [2]	Unsupervised segmentation [3]	Registration based segmentation [4]
Pros	Can perform different task simply by changing the training set data. Learning is an essential component of this technique and when learning is completed then tumor will be detected automatically	No training required	Easy to make the comparison of two images
Cons	Special training required and, therefore, additional processing time required	Manual selection of region growing. Number of regions needs to be prespecified. Tumors have not clearly defined intensities	Registration may not be perfect due to different anatomical structure of the image and template