Paper Title
Neuroscan -Brain tumor detection
Article Identifiers
Registration ID: IJNRD_214582
Published ID: IJNRD2403144
DOI: http://doi.one/10.1729/Journal.38261
Authors
Manas Pandey , Mr.Manish Kumar Sharma , Lav Yadav , Gaurav Sharma
Keywords
Abstract
A brain tumor is a dangerous condition that calls for prompt screening and identification updates, careful attention, and appropriate care. The essential instrument utilized is Magnetic Resonance Imaging, or MRI for short. The most important and early step of diagnosis is when the brain's picture programming is actually discovered. In recent times, machine learning has emerged as the primary instrument for raising diagnostic standards and enhancing effectiveness. In order to get reliable results, research from both fields was combined and presented in this publication. Our objective is to assess these studies in light of research gaps in order to combine the disease-specific most efficient machine learning algorithm. Through a systematic analysis of the selected research publications, we machine learning techniques, considering the benefits and drawbacks of each. We want to analyze and contrast the methods and conclusions of the reviewed studies in order to provide guidance for the selection of a machine learning algorithm for brain cancer diagnosis. Our study intends to help continuing efforts to improve early detection and treatment for brain cancer, emphasizing the vital role that machine learning plays in advancing medical imaging techniques assess the methodologies, data sets, and outcomes of various technologies.
Downloads
How To Cite (APA)
Manas Pandey, Mr.Manish Kumar Sharma, Lav Yadav, & Gaurav Sharma (March-2024). Neuroscan -Brain tumor detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), b390-b396. http://doi.one/10.1729/Journal.38261
Issue
Volume 9 Issue 3, March-2024
Pages : b390-b396
Other Publication Details
Paper Reg. ID: IJNRD_214582
Published Paper Id: IJNRD2403144
Downloads: 000122006
Research Area: Engineering
Country: greater noida, uttar pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403144.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403144
Crossref DOI: http://doi.one/10.1729/Journal.38261
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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-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: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details