Brain Tumour Detection and Segmentation Techniques: A State-Of-The-Art Review
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Brain tumor is a disease difficult to cure. Therefore detection of brain tumor at an initial stage can help in easy and proper diagnosis. Image processing exercises a major role in analysis of the medical imagery. In medical image processing, brain tumor detection is considered as the most difficult and cha1lenging activity. Magnetic Resonance Imaging (MRI) is an advanced medical imaging approach for analyzing the body’s inner anatomy. MRI produces high quality images of human soft tissues that help in brain tumor diagnosis. Due to complex nature of brain MR images, the precise MRI image segmentation is necessary for brain tumor diagnosis. Next, the tumor classification into benign and ma1ignant is a tough job on account of differences in features of tissues of tumor such as gray level intensities, size, and structure. This paper addresses the potencies and weaknesses of the previously adduced classification strategies. The paper provides an insight into the reviewed literature to reveal new aspects of research and proposes a hybrid technique for brain tumor detection and segmentation.
Authors and Affiliations
Mansi Lather, Parvinder Singh
Keywords
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