Improving the Accuracy of Brain Tumor Identification in Magnetic Resonanceaging using Super-pixel and Fast Primal Dual Algorithm
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 36، شماره: 3
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 124
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شناسه ملی سند علمی:
JR_IJE-36-3_010
تاریخ نمایه سازی: 16 اسفند 1401
چکیده مقاله:
Brain tumors are one of the most common causes of death that have been widely investigated by scholars in research areas, including care and prevention. Despite various empirical studies on the brain tumor segmentatin, there is still a need for further investigation. This fact is more needed in the automatic methods of brain tumors detection. In the present study, a new method for improving brain tumor segmentation accuracy based on super-pixel and fast primal dual (PD) algorithms has been proposed. The proposed method detects brain tumor tissue in Flair-MRI imaging in BRATS۲۰۱۲ dataset. This method detects the primary borders of tumors using a super-pixel algorithm, and improves brain tumor borders using fast PD in Markov random field optimization. Then, post-processing processes are used to delete white brain areas. Finally, an active contour algorithm was employed to display tumor area. Different experiments were carried on the proposed method and qualitative and quantitative criteria such as dice similarity measure, accuracy and F-measure were used for evaluation. The obtained results showed the efficiency of the proposed method, such that in the accuracy and sensitivity of ۸۶.۵۹ and ۸۸.۵۷% and F۱-Measure ۸۶.۳۷ were obtained, respectively.
کلیدواژه ها:
Brain tumor identification ، Fast Primal Dual Algorithm ، Markov random fields ، MRI imaging ، Segmentation
نویسندگان
M. Emadi
Faculty of Electrical Engineering, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Isfahan, Iran
Z. Jafarian Dehkordi
Faculty of Software Engineering, Najaf Abad Branch, Islamic Azad University, Najaf Abad, Isfahan, Iran
M. Iranpour Mobarakeh
Department of Computer Engineering and IT, Payam Noor University, Tehran, Iran
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