• Chandrasheela Hotakar
• Dr.K.R.Shailaja

Artificial intelligence (AI) algorithm, and mainly deep learning, have validated fantastic development in picture-reputation obligations. Methods starting from convolutional neural networks to variant vehicle mobile encoders have located myriad packages withinside the scientific picture evaluation field, propelling it ahead at a speedy pace. The goal of this text is to provide a view at the capability effect of Artificial Intelligence (AI) on processing scientific images, especially when it comes to diagnostic. This subject matter is presently attracting main interest in each the scientific and engineering groups and high-quality achievement of Artificial intelligence algorithms at picture reputation obligations in latest years intersects with a time of dramatically accelerated use of digital scientific data and diagnostic imaging.

MRI, Artificial intelligence (AI).

"WIRELESS INFRARED IMAGING SENSOR BASED BRAIN TUMOR DETECTION USING ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.3631-3638, October-2020, Available :http://www.jetir.org/papers/JETIR2010473.pdf

"WIRELESS INFRARED IMAGING SENSOR BASED BRAIN TUMOR DETECTION USING ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp3631-3638, October-2020, Available at : http://www.jetir.org/papers/JETIR2010473.pdf