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• Published Subscription Original Research 14 Aug 2024

  Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans

  By Neenu Joseph, Akhil Musthafa, Namitha M.R, Misbah Latheef

  Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …

  Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article →