• Snehal Khedekar
• Shweta Nanekar
• Arati Wagh
• Shubhada Gadade
• Prof. Manisha Darak

Image Processing is one of the tedious and risky tasks for any developers while we are using this concept for Brain Tumour detection. MRI (Magnetic Resonance Imaging) is now the most recommended and adaptable practice all over the corner and it is a medicinal procedure, and generally, it is practiced by the radiologist for the representation of the internal part of the human body without surgery. The machine learning technology we are using for its coding and for giving its functionality at very best. We are using Machine learning technology for better coding and functionality and it is now the best ever technology for complex type coding like this. Its experience for image processing tasks is a very easy and very appropriate one too. We conclude by discussing research obstacles, emerging trends, and possible future directions.

CNN (Convolution neural networks), medical image analysis, machine learning, deep learning.

"A Medical Image Fusion using a Deep Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.857-860, June-2020, Available :http://www.jetir.org/papers/JETIR2006461.pdf

"A Medical Image Fusion using a Deep Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp857-860, June-2020, Available at : http://www.jetir.org/papers/JETIR2006461.pdf