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  Published Paper Details:

  Paper Title

BRAIN TUMOR DETECTION USING MEDICAL IMAGE PROCESSING

  Authors

  Utkarshraj Nilesh Bhosale

  Keywords

Brain tumor, ANN, MRI, CNN, machine learning, VGG

  Abstract


In medical image processing (MIP), brain tumour segmentation (BTS) is an important task; the early diagnosis of brain tumours (BTs) plays an important role in improving therapeutic options and increasing the patient's survival rate. BTs for cancer diagnosis can be segmented manually from large amounts of magnetic resonance imaging (MRI) data, but this is a complex and time-consuming process. An automatic and effective BTS system is therefore required. Nevertheless, tumour detection remains a challenging task for researchers as the tumour has complex appearance and boundary features. This paper seeks to explain BT, its forms and various methods of brain tumour identification and segmentation. The aim of this survey paper is to present different automated brain MRI BTS methods. The current brain tumour detection (BTD) and brain MRI segmentation techniques are explored in this paper.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2211303

  Paper ID - 227568

  Page Number(s) - c665-c668

  Pubished in - Volume 10 | Issue 11 | November 2022

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.32171

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

  E-ISSN Number - 2320-2882

  Cite this article

  Utkarshraj Nilesh Bhosale,   "BRAIN TUMOR DETECTION USING MEDICAL IMAGE PROCESSING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 11, pp.c665-c668, November 2022, Available at :http://www.ijcrt.org/papers/IJCRT2211303.pdf

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


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