UGC Approved Journal no 63975(19)

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

Volume 10 Issue 2
February-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2302361


Registration ID:
508899

Page Number

d505-d509

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Title

BRAIN TUMOR AND ALZHEIMER’S DETECTION USING DEEP LEARNING

Abstract

A cerebrum cancer is a development or mass of deviant synapses. It can fill in various ways. The speed of development and its area together conclude what it means for how well the sensory system functions. Alzheimer's sickness is a cerebrum infirmity that influences thinking, conduct, and memory. Likewise a condition deteriorates with time. The indications of a cerebrum cancer incorporate unexplained sickness or retching, balance issues, inconvenience talking, character or conduct changes, hearing issues, migraines that have quite recently begun or have changed in recurrence, and so forth. Alzheimer's illness side effects incorporate cognitive decline, losing things, neglecting names of spots and things, upset rest, agnosia, and so on. Quicker location of the sicknesses' presence, brief finding, and therapy to save the analyzed person from going into a basic stage are the main ways of bringing down the quantity of fatalities connected with the infections. Thus, legitimate order and location are significant to treatment. This examination utilizes a profound learning CNN model with the thought of calibrating to help the stages. It manages 3 classes under the cancer classification and 4 classes under the Alzheimer's classification, with a sum of thousands of X-ray pictures utilized for the model's preparation and testing.

Key Words

Artificial intelligence, brain tumor, MRI, Deep learning.

Cite This Article

"BRAIN TUMOR AND ALZHEIMER’S DETECTION USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.d505-d509, February-2023, Available :http://www.jetir.org/papers/JETIR2302361.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

"BRAIN TUMOR AND ALZHEIMER’S DETECTION USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppd505-d509, February-2023, Available at : http://www.jetir.org/papers/JETIR2302361.pdf

Publication Details

Published Paper ID: JETIR2302361
Registration ID: 508899
Published In: Volume 10 | Issue 2 | Year February-2023
DOI (Digital Object Identifier):
Page No: d505-d509
Country: BENGALURU, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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