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

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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Bibliographic Details
Main Author: Surjeet Dalal (4906894) (author)
Other Authors: 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)
Published: 2023
Subjects:
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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