• Dr. Rajshree

Brain tumors are among the most critical neurological disorders requiring accurate and timely diagnosis. Magnetic Resonance Imaging (MRI) is widely used due to its high soft tissue contrast. This paper presents a deep learning-based framework for automated brain tumor detection using MRI images. Convolutional Neural Networks (CNNs) are employed to learn discriminative features directly from MRI data. Experimental evaluation demonstrates that the proposed approach achieves high accuracy and reliability, making it suitable for clinical decision support systems.

Brain Tumor Detection, Magnetic Resonance Imaging, Deep Learning, Convolutional Neural Network, Medical Imaging

"Brain Tumor Detection Using Magnetic Resonance Imaging Based on Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.b1-b5, January-2026, Available :http://www.jetir.org/papers/JETIR2601101.pdf

"Brain Tumor Detection Using Magnetic Resonance Imaging Based on Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppb1-b5, January-2026, Available at : http://www.jetir.org/papers/JETIR2601101.pdf