Published on: April 2026
BRAIN TUMOR DETECTION USING AI
Varad Panchal Aryan Taur
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Abstract
This paper presents a study on brain tumor detection using Artificial Intelligence. The main objective of this research is to accurately identify and classify brain tumors from medical images. In this work, machine learning and deep learning techniques are applied to analyze MRI scan images for detecting abnormal growth in the brain. The results obtained show that AI-based models can achieve high accuracy and faster detection compared to traditional methods. The study helps in improving early diagnosis and assisting doctors in decision-making. Finally, it is concluded that AI can play a significant role in reliable and efficient brain tumor detection
How to Cite this Paper
Panchal, V. & Taur, A. (2026). Brain Tumor Detection using AI. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.023
Panchal, Varad, and Aryan Taur. "Brain Tumor Detection using AI." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.023.
Panchal, Varad, and Aryan Taur. "Brain Tumor Detection using AI." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.023.
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- •Published on: Apr 03 2026
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