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

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 tumor detection and segmentation...

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Bibliographic Details
Main Authors: Surjeet Dalal, Umesh Kumar Lilhore, Poongodi Manoharan, Uma Rani, Fadl Dahan, Fahima Hajjej, Ismail Keshta, Ashish Sharma, Sarita Simaiya, Kaamran Raahemifar
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
brain tumor
adaptive self-organizing map
K-means
gray level co gray level co-occurrence matrix
medical imaging
Online Access:https://www.mdpi.com/1424-8220/23/18/7816

Internet

https://www.mdpi.com/1424-8220/23/18/7816

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