An Improved Automatic Brain Tumor Detection System
نویسندگان
چکیده
Brain tumor detection is well known research area for both medical as well as computer scientists. In last two decades there has been much research done on tumor detection, segmentation, & classification but still there is no complete automated system developed yet. As we know Brain Tumor is one of the deadliest diseases at present which is only curable in its early stages. The paper proposes an improved automatic brain tumor detection method by automatically detecting tumor location in MR images, & then tumor is segmented out from the MR image then after its features are extracted & then it’s fed to an Artificial Neural Network (ANN) to classify the grade of tumor. All the techniques used here are almost researched individually for particular purposes & the paper combines them all to automate the tumor detection efficiently, with accuracy & less time consumption. Results shown in paper justifies that method used is automatic with good accuracy (95.30%) & it detects, classifies tumor correctly. Keywords— MRI segmentation, Brain tumor detection, Tumor segmentation, Tumor classification, Medical Imaging, ANN
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