STUDY OF PATCHMATCH BASED TREE-SEED FUZZY CLUSTERING FOR ISCHEMIC STROKE LESION

Abstract

Since the brain manages whole functions of the human body, the brain is considered to be one of the significant organs of the body. Several illnesses like infections, tumors, and strokes affect the brain. In addition, tumor brain may be a noncancerous or cancerous group or abnormal cell growth in the brain.Methods like MRI can be employed for detecting brain tumors. Lately, MRI scans have gained attention due to the requirement for a better evaluation of huge amounts of information (El-Dahshan et al 2014).Obtaining brain samples and automated classification of brain cells from MRI scans is important both in medicine and in experimental studies of common and diseased brain tumors. The most significant step in the fabrication of medical imaging is segmentation, which separates the matters in the image for processing.Medical imaging is very important in detecting brain tumors because they show different texture of the tissues and do not require surgery. Consequently, it is difficult to spot brain tumors without a medical imaging process. The two most commonly used medical imaging techniques are Computed Tomography (CT) and MRI. Both of these methods play a significant role & have an excessive impact on diagnosis (Vilela P et al 2017).