A Review on Image Processing Approaches for Glioma Grading

In recent years, brain tumour cases have been on the rise and late diagnosis leads to high morbidity and mortality. According to the World Health Organization (WHO), brain tumours occur in around 250,000 people throughout the world. To detect the tumour at an early stage, appropriate usage of imaging modality yielding high resolution images play a vital role. Also, accurate grading of tumours is important to find the severity of the disease and the clinical condition of the patient. This paper reviews the types of brain tumours, modalities used for imaging and the already developed algorithms and their respective results.