INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Brain tumors, also known as neoplasms, are abnormal cells that grow within the brain.
One of the most common and effective ways to detect these tumors is through
Magnetic Resonance Imaging (MRI) scans. These scans allow doctors to identify any
abnormal tissue growth within the brain. Advances in technology have led to the use of
Machine Learning and Deep Learning algorithms to analyze MRI images for more
efficient and accurate detection of brain tumors. This can greatly aid in the treatment of
patients and help radiologists make quick decisions. In this proposed research, we will
examine the use of a self-designed Artificial Neural Network (ANN) and Convolutional
Neural Network (CNN) to detect the presence of brain tumors, and assess their
effectiveness.
Keywords:
Cite Article:
"Brain Tumor Detection using CNN", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.c563-c567, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301276.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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