INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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)
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.
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"Neuroscan -Brain tumor detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b390-b396, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403144.pdf
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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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