Segmentation Brain Tumor and Diagnosing Using Watershed Algorithm
Journal Title: American journal of Engineering Research - Year 2016, Vol 5, Issue 11
Abstract
Brain cancer is the most life impacting and most critical type of malignancy considering the sensitivity of the location in which it affects, the brain being the most important part of the body yet its cells lack the ability to divide and heal the damaged tissue. Most brain tumors causes are unknown; they’re the second leading cause of cancer-related deaths in children and young adults under 20, with generally low average survival rates. There are over 120 types of brain tumors, most are cancerous. Sadly, there are no effective ways to prevent brain tumors however for many tumors, surgery and radiotherapy remain the standard of care for early stages. The early discovery of a brain tumor can play an important role in reducing the mortality rates and associated lethal effects as well as to diagnose and manage the case, resulting in a higher recovery rate for the patients. This paper deals with tumors that start within the brain, using morphological watershed algorithm on Magnetic Reasoning Images (MRI) to identify, locate and segment the tumor. The basic idea in this paper is to design software and use the proposed system to help the physician reading and classifying the type of tumors into benign or malignant. The experimental result shows that the cases been diagnosed using our system verses the radiologist diagnosis are correct with percentage over 100% for the most of the cases.
Authors and Affiliations
Hind HameedAbid *, Dr. MatheelEmaduldeen Abdulmunim
Keywords
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