Advancing Brain Tumor Diagnosis: Deep Learning for Highly Accurate Classification of Tumor from MRI Images

Authors

  • Goshika Swapna1, Velamala Venkata Ramana, Somireddy Spandana Author

DOI:

https://doi.org/10.48047/

Keywords:

Convolutional neural networks, medical image analysis, machine learning and deep learning.

Abstract

Deep Learning is the newest and most popular trend in the machine learning industry, and it 
has captured the interest of a significant number of academics in the past few years. Deep 
learning is a strong technique for machine learning that has been widely employed in a variety 
of applications for the purpose of solving numerous complicated problems that call for an 
exceptionally high level of accuracy and sensitivity, especially in the field of medicine. If it is 
identified at a higher grade, a brain tumor is one of the most prevalent as well as one of the 
most aggressive forms of malignant tumor disease. As a result, the average life expectancy of 
a person with this disease is significantly shortened. In light of this, the classification of a 
brain tumor is an extremely important step that must follow the discovery of the tumor in 
order to formulate an appropriate treatment strategy.

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Published

2024-12-13