CSEIT2063211 | Accepted : 20 June 2020 | Published : 28 June 2020 | May-June-2020 [ 6 (3) : 967-973 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2020 IJSRCSEIT | Volume 6 | Issue 3 | ISSN : 2456-3307 DOI : https://doi.org/10.32628/CSEIT2063211 967 A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques V. Deepika, T. Rajasenbagam Department of Computer Science and Engineering, Government College of Technology, Coimbatore, Tamilnadu, India ABSTRACT A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques. Keywords : Brain Tumor, Magnetic Resonance Imaging (MRI), Detection, Classification. I. INTRODUCTION The field of medical imaging is gaining importance through the increasing need for automated, reliable, rapid and healthy diagnosis that can provide better picture insight than the human eye. The abnormal growth of cells produced within the human body is called Tumor. Brain Tumor is a strong intra-cranial neoplasm that occurs within the brain or central spinal cord. A brain tumor is a serious and life- threatening isease because the brain is the most fragile part of the human body. However, the brain tumor can be a victim of cancer or benign non-cancer. Treatment of brain tumors depends on proper diagnosis and depends on different factors such as tumor type, location, size and developmental status. Tumors in the brain are painful and can lead to various diseases if not treated properly. Examination of the tumor is an important part of the treatment. Identification plays a major role in the identification of tumor. The main reason for the increase in the number of cancer patients worldwide is the ignorance of tumor treatment in its early stages. A brain tumor is an unwanted growth of a diseased / abnormal cell in the brain in an irreversible manner. Brain Tumor increases intracranial pressure within the skull affecting the cerebrospinal fluid (CSF) region, gray matter (GM), white matter (WM). Tumor can affect any part of the brain and its size depends on the size of the tumor, the type and location. Tumor cells grow in uncontrolled growth, and like adult immune cells, they do not die. The tumor continues to grow as the number of cells accumulates in the formation of the cyst. Brain tumors are of two types, either Benign or Malignant.