Paper Title
Neuroscan -Brain tumor detection
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Registration ID: IJNRD_214582
Published ID: IJNRD2403144
: http://doi.one/10.1729/Journal.38261
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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.
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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
Research Area: Engineering
Author Type: Indian Author
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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