• Bhagyashree Rajendra Gaidhani
• Dr. R. Rajamenakshi
• Samadhan Sonavane

Imaging in medicine is used from diagnosis to treatment in a variety of ways. This paper presents a comprehensive survey of the medical image processing using computational intelligence techniques applied on MRI images for detecting Brain stroke in patients. The stroke is due to the clot and rupture in the blood vessel that carries blood. According to WHO reports, stroke stands second that causes death and disability worldwide. Early diagnosis and treatment in time can save patients and allow them to lead normal thereafter. Need for a fast and reliable method to detect anomalies will prove beneficial. This paper presents analysis of previous work in medical image processing, a comparative study of techniques applied based on features set used and accuracy and the gaps that exists

Medical Image Processing, Brain stroke, CT/PET/MR, deep learning

"Deep Learning Techniques in Medical Image Processing-A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.563_572, May-2019, Available :http://www.jetir.org/papers/JETIR1905379.pdf

"Deep Learning Techniques in Medical Image Processing-A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp563_572, May-2019, Available at : http://www.jetir.org/papers/JETIR1905379.pdf