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.

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

Citation

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

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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

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

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.

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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

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