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  Published Paper Details:

  Paper Title

Deep Learning Model with VGG16 Model for Brain Tumour Detection

  Authors

  Vatasal Tandon,  Girija Shankar Sahoo

  Keywords

Brain Tumour, Snake Segmentation, PNLM Filter, VGG16, CNN

  Abstract


A mass or collection of abnormal brain cells is referred to as a brain tumour. The skull, in which the brain is housed, is exceedingly sturdy. Every form of tumor's growth in this constrained space results in numerous issues. There are several phases involved in the detection of brain tumours, including pre-processing, segmentation, feature extraction, and classification. Several strategies, including image filtering employing PNLM filtering techniques and snake segmentation for segmentation, have been proposed in past research work. Transfer learning will be employed for classification in the final stage. The VGG16 and CNN models are combined to create the transfer learning model. Python will be used to implement the suggested model, and accuracy, precision, and recall will be evaluated of the outcomes.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405184

  Paper ID - 258812

  Page Number(s) - b688-b695

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.39259

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

  E-ISSN Number - 2320-2882

  Cite this article

  Vatasal Tandon,  Girija Shankar Sahoo,   "Deep Learning Model with VGG16 Model for Brain Tumour Detection", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.b688-b695, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405184.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


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