An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering

<p dir="ltr">Brain tumors in Magnetic resonance image segmentation is challenging research. With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world. This research presents an efficient tumo...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Surjeet Dalal (4906894) (author)
مؤلفون آخرون:	Umesh Kumar Lilhore (17727684) (author), Poongodi Manoharan (17727687) (author), Uma Rani (19482358) (author), Fadl Dahan (19482361) (author), Fahima Hajjej (11675462) (author), Ismail Keshta (17727699) (author), Ashish Sharma (319838) (author), Sarita Simaiya (17727693) (author), Kaamran Raahemifar (707645) (author)
منشور في:	2023
الموضوعات:	Biomedical and clinical sciences Oncology and carcinogenesis Health sciences Health services and systems Information and computing sciences Artificial intelligence Computer vision and multimedia computation Machine learning brain tumor adaptive self-organizing map K-means gray level co gray level co-occurrence matrix medical imaging
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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering

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