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  Published Paper Details:

  Paper Title

BRAIN REGION SEGMENTATION USING HYBRID FILTERING AND DEEP LEARNING ALGORITHM

  Authors

  Priyanka Gupta,  Dr. Paresh Jain,  Hari Ram Tanwar

  Keywords

MRI, Brain Region, Segmentation, GGIF, WLS, CNN

  Abstract


The division of brain region shapes in three measurements is basic for the investigation of various brain structures, and progressed approaches are arising constantly inside the field of neurosciences. With the improvement of high-goal miniature optical imaging, entire brain pictures can be procured at the cell level. Be that as it may, brain regions in tiny pictures are collected by discrete neurons with hazy limits, the unpredictable and variable highlights of brain regions make it trying to precisely fragment brain regions. Manual division is a solid strategy, yet is ridiculous to apply for an enormous scope. in this method, a filter named as globally guided filter is combined with the deep learning method which is CNN known as convolutional neural network. The accuracy and mean square error are mainly improved in this method according to input images given.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2102296

  Paper ID - 203372

  Page Number(s) - 2438-2441

  Pubished in - Volume 9 | Issue 2 | February 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Priyanka Gupta,  Dr. Paresh Jain,  Hari Ram Tanwar,   "BRAIN REGION SEGMENTATION USING HYBRID FILTERING AND DEEP LEARNING ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 2, pp.2438-2441, February 2021, Available at :http://www.ijcrt.org/papers/IJCRT2102296.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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