Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A hybrid approach based segmentation technique for brain tumor in MRI
  Images   Automatic image segmentation becomes very crucial for tumor detection in
medical image processing.In general, manual and semi automatic segmentation
techniques require more time and knowledge. However these drawbacks had
overcome by automatic segmentation still there needs to develop more
appropriate techniques for medical image segmentation. Therefore, we proposed
hybrid approach based image segmentation using the combined features of region
growing and threshold based segmentation techniques. It is followed by
pre-processing stage to provide an accurate brain tumor extraction by the help
of Magnetic Resonance Imaging (MRI). If the tumor has holes, the region growing
segmentation algorithm cannot reveal but the proposed hybrid segmentation
technique can be achieved and the result as well improved. Hence the result
used to made assessment with the various performance measures as DICE, JACCARD
similarity, accuracy, sensitivity and specificity. These similarity measures
have been extensively used for evaluation with the ground truth of each
processed image and its results are compared and analyzed.

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The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
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The categories of this paper are: cond-mat
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The categories of this paper are: q-fin
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The categories of this paper are: eess
13
The categories of this paper are: quant-ph
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The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: adap-org
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The categories of this paper are: solv-int
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The categories of this paper are: math
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The categories of this paper are: alg-geom
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-bio
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The categories of this paper are: comp-gas