• Dr.Shivanand S.Rumma
• Sweta

Cerebrovascular diseases are the third leading cause of death in the world after cancer and heart diseases. Brain hemorrhage is one of the most common cerebral vascular diseases. Brain hemorrhage (Bleeding in the brain) can happen because of an accident, brain tumor, stroke, or high blood pressure caused by the bursting of a brain artery leading to bleeding and can have a fatal impact on brain function and its performance. Brain bleed can reduce oxygen delivery to the brain, creating extra pressure in the brain and killing brain cells. For diagnosis of hemorrhage medical experts suggest CT (computed tomography), CT images are used in greater ratio due to its ease of use, price constraints and high speed. The identification of cerebral hemorrhage is not known immediately. Therefore, we need a certain method that can segment the CT scan image quickly and automated. The goal is to obtain the segmentation of brain parts that are affected with hemorrhage quickly and accurately using the method of machine Learning. So, patients with cerebral hemorrhage can immediately obtain the medical treatment in accordance with their needs.

Brain hemorrhage, Brain Cells, SVM.

"DETECTION OF BRAIN HEMORRHAGE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.f853-f858, February-2023, Available :http://www.jetir.org/papers/JETIR2302592.pdf

"DETECTION OF BRAIN HEMORRHAGE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppf853-f858, February-2023, Available at : http://www.jetir.org/papers/JETIR2302592.pdf