TWO PHASE MRI SEGMENTATION METHOD FOR BRAIN TUMOR EXTRACTION

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TOSAN SINA; MEHRSHAD NASSER; GHAEMI KAZEM

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Journal Paper

Paper Information

Journal: MACHINE VISION AND IMAGE PROCESSING Year:2018 | Volume:4 | Issue:2 Page(s): 49-57

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Information Journal Paper

Title

TWO PHASE MRI SEGMENTATION METHOD FOR BRAIN TUMOR EXTRACTION

Author(s)

TOSAN SINA | MEHRSHAD NASSER | GHAEMI KAZEM | Issue Writer Certificate

Keywords

BRAIN TUMOR

MRI IMAGE

TWO-PHASE SEGMENTATION

WATERSHED TRANSFORM

Abstract

Accurate and timely detection of BRAIN TUMOR can help patients to choose the kind of treatment and follow-up process and also has a very high impact on the treatment success rate. In this study, a TWO-PHASE SEGMENTATION method for accurate detection of tumor in the brain magnetic resonance images is provided. In the first stage, after performing the necessary pre-processing schemes on the image, location of the tumor using a threshold-based segmentation method is characterized and secondly, in a marker-based watershed segmentation method is used. Given that in the first stage is not too much emphasis on accurate detection of the tumor area, selecting the threshold values in a wide range of values, will not affect the final results. In the second stage, marker -based segmentation method will lead to accurate detection of the tumor area. The implementation results show that the proposed method in a wide range of input parameters leads to the same accurate results.

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APA: Copy

TOSAN, SINA, MEHRSHAD, NASSER, & GHAEMI, KAZEM. (2018). TWO PHASE MRI SEGMENTATION METHOD FOR BRAIN TUMOR EXTRACTION. MACHINE VISION AND IMAGE PROCESSING, 4(2 ), 49-57. SID. https://sid.ir/paper/265699/en

Vancouver: Copy

TOSAN SINA, MEHRSHAD NASSER, GHAEMI KAZEM. TWO PHASE MRI SEGMENTATION METHOD FOR BRAIN TUMOR EXTRACTION. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2018;4(2 ):49-57. Available from: https://sid.ir/paper/265699/en

IEEE: Copy

SINA TOSAN, NASSER MEHRSHAD, and KAZEM GHAEMI, “TWO PHASE MRI SEGMENTATION METHOD FOR BRAIN TUMOR EXTRACTION,” MACHINE VISION AND IMAGE PROCESSING, vol. 4, no. 2 , pp. 49–57, 2018, [Online]. Available: https://sid.ir/paper/265699/en

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