Neuroscan -Brain tumor detection

Neuroscan -Brain tumor detection

Registration ID: IJNRD_214582

Published ID: IJNRD2403144

DOI: http://doi.one/10.1729/Journal.38261

Manas Pandey , Mr.Manish Kumar Sharma , Lav Yadav , Gaurav Sharma

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.

Published Paper   E-Certificate

"Neuroscan -Brain tumor detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b390-b396, March-2024, Available :https://ijnrd.org/papers/IJNRD2403144.pdf

Volume 9 Issue 3, March-2024

Pages : b390-b396

Paper Reg. ID: IJNRD_214582

Published Paper Id: IJNRD2403144

Downloads: 000121224

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

DOI: http://doi.one/10.1729/Journal.38261

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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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Current Issue: Volume 10 | Issue 8

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Frequency: Monthly (12 issue Annually).

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