UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205A13


Registration ID:
403160

Page Number

j80-j83

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Title

AI To Automate Brain Tumor Classification

Authors

Abstract

Brain tumor is an unusual development of synapses inside the cerebrum. Brain tumor discovery and division and is perhaps the most difficult and tedious undertaking in clinical picture preparing. MRI(Magnetic Resonance Imaging) is a representation clinical method, which gives copious data about the human delicate tissue, which helps in the determination of mind tumor. The identification of cerebrum tumor is confounded techniques in clinical field. The calculation joins ventures for pre‐processing, picture division, include extraction and picture arrangement.

Key Words

Brain Tumor, Deep learning, Transfer Learning, MRI.

Cite This Article

"AI To Automate Brain Tumor Classification ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.j80-j83, May-2022, Available :http://www.jetir.org/papers/JETIR2205A13.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI To Automate Brain Tumor Classification ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppj80-j83, May-2022, Available at : http://www.jetir.org/papers/JETIR2205A13.pdf

Publication Details

Published Paper ID: JETIR2205A13
Registration ID: 403160
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: j80-j83
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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