Paper Title

Brain Tumor Detection using CNN

Article Identifiers

Registration ID: IJNRD_186541

Published ID: IJNRD2301276

DOI: Click Here to Get

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.

How To Cite

"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 & Technology 

Country: Delhi, delhi, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301276.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301276

About Publisher

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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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area