11. Automatic Brain Tumor Detection and Classification of Grades of Astrocytoma

Brain tumor is a deadly disease that medical science has ever seen over the years. Among several brain tumors, astrocytoma is a brain tumor that arises from the astrocytes cells present within the brain. With the event of modern medical imaging modalities, the presence of any abnormality in the human brain has completely been achieved. Among these modalities, MRI holds a special position in detection of brain tumor owing to its many advantages. But, it has been observed that manual detection of tumor, which is the current scenario in medical science, is a delaying process. The manual detection delays the further treatment of the patient which acts as a risk to the patient’s life. Also the medical procedure of biopsy, which involves insertion of medical instrument in the human brain, performed to know about the status of the tumor, also leaves its post-surgerical effects on the patient. Thus, to overcome these limitations, automation of tumor detection and creation of noninvasive technology to identify the status of the tumor has become the very need of the hour. Taking a small step to overcome these limitations, we had proposed for a system which uses artificial neural network for automation of brain tumor detection and radial basis function neural network for classification the grades of astrocytoma noninvasively. The results obtained of the grades were also being clinically correlated with the biopsy reports.