Sari Cristy Atika Primary Author mixed material bibliography Semarang Universitas Negeri Semarang 2021 e English

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hlm : 76-83 Abstract Purpose: Magnetic Resonance Imaging is one of the health technologies used to scan the human body in order to get an image of an orgasm in the body. MRI imagery has a lot of noise that blends with the tumor object, so the tumor is quite difficult to detect automatically. In addition, it will be difficult to distinguish tumors from brain texture. Various methods have been carried out in previous studies. Methods: This study combines the K-Means method and Fuzzy C-Means (FCM) to detect tumors on MRI. The purpose of the combination is to get the advantages of each algorithm and minimize weaknesses. The method used is Contrast Adjustment using Fast Local Laplacian, K-Means FCM, Canny edge detection, Median Filter, and Morphological Area Selection. The dataset is taken from www.radiopedia.org. Data taken were 73 MRI of the brain, of which 57 MRIs with brain tumors and 16 MRIs of normal brain Evaluation of research results will be calculated using Confusion Matrix. Result: The accuracy obtained is 91.78%. Novelty: K-Means method and Fuzzy C-Means (FCM) to detect tumors on MRI. Informatika SJI 24077658 Perpustakaan Teknik UPI YAI SJI V8N1 May 2021 SJI3a-010 Perpustakaan FT UPI YAI SJI V8N1 May 2021 SJI3b-010 Perpustakaan FT UPI YAI SJI V8N1 May 2021 SJI_V8N1_May_2021.png.png 58997 2023-02-08 14:18:41 2023-02-08 14:18:41 machine generated