Machine Learning Algorithm for Early Detection and Analysis of Brain Tumors Using MRI Images

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Published: Jun 5, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i5s.7057
Keywords:
Brain Tumor, Biomedical field, MRI images

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Jayprabha Vishal Terdale
A. C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
Varsha Bhole
A. C. Patil College of Engineering, Navi Mumbai, Maharashtra, India
Harsh Namdev Bhor
K. J. Somaiya Institute of Technology, Sion, Mumbai, Maharashtra, India
Namita Parati
Maturi Venkata Subba Rao (MVSR) Engineering College, Hyderabad, Telangana State, India
Neha Zade
Shri. Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India
Sanjay P. Pande
Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India

Abstract

Among the human body's organs, the brain is the most delicate and specialized. It is proven that after the heart stops then also brain death occurs within 3 to 5 minutes of death or within 3 to 5 minutes of loss of oxygen supply. A brain tumor is a life-threatening disease that can be detected at any age from an infant to an old person. Though a lot of people did research in the detection and analysis of a tumor, but then also detecting tumors at the early phase is still a much more arduous field in the biomedical study. This paper focuses on the comparative study of various existing algorithms in this field. This paper addresses the challenges and some issues in MRI brain tumor detection which are also addressed in this research.

Article Details

How to Cite
Terdale, J. V. ., Bhole, V. ., Bhor, H. N. ., Parati, N. ., Zade, N. ., & Pande, S. P. . (2023). Machine Learning Algorithm for Early Detection and Analysis of Brain Tumors Using MRI Images. International Journal on Recent and Innovation Trends in Computing and Communication, 11(5s), 403–415. https://doi.org/10.17762/ijritcc.v11i5s.7057
Issue
Vol. 11 No. 5s (2023): Special Issue on Advances in Computing Systems for Web-Based Machine Learning Applications
Section
Articles

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