Paper Title
Brain Tumor Detection using CNN
Article Identifiers
Authors
Paramnoor Dhiman , Mayank Singh , Mayank Pant , Pratham Aggarwal
Keywords
Abstract
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.
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"Brain Tumor Detection using CNN", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 1, page no.c563-c567, January-2023, Available :https://ijnrd.org/papers/IJNRD2301276.pdf
Issue
Volume 8 Issue 1, January-2023
Pages : c563-c567
Other Publication Details
Paper Reg. ID: IJNRD_186541
Published Paper Id: IJNRD2301276
Downloads: 000121136
Research Area: Computer Science & TechnologyÂ
Country: Delhi, delhi, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2301276.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301276
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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