Brain Tumor Detection From CT Scan Images Using Watershed Segmentation Algorithm

Abstract

The field of medical imaging gains value by increasing the need for automatic, reliable, fast and effective diagnostics that can provide insight into the image better than the human eye. A brain tumor is the second leading cause of cancer-related deaths in men aged 20 to 39 and the fifth leading cause of cancer among women in the same age group. Diagnosis of a tumor is a very important part of its treatment. Images are obtained by Computed Tomography (CT) and are processed for medical and therapeutic purposes. This paper discusses Watershed algorithm that can inform the user of tumor details using basic image processing techniques. This process helps to determine the size, shape and shape of the tumor. It helps medical staff and the patient understand the seriousness of the tumor. The contour GUI of the tumor and its boundary can provide information to medical personnel by clicking the user selection buttons.