Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection

A malignant tumor in brain is detected using images from Magnetic Resonance scanners. Malignancy detection in brain and separation of its tissues from normal brain cells allows to correctly localizing abnormal tissues in brain’s Magnetic Resonance Imaging (MRI). In this article, a new method is prop...

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Veröffentlicht in:	Journal of ambient intelligence and humanized computing 2024, Vol.15 (1), p.1063-1082
Hauptverfasser:	Sharif, Muhammad, Tanvir, Uroosha, Munir, Ehsan Ullah, Khan, Muhammad Attique, Yasmin, Mussarat
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial Intelligence Brain Brain cancer Classification Computational Intelligence Datasets Engineering Feature extraction Genetic algorithms Kernel functions Literature reviews Machine learning Magnetic resonance imaging Medical imaging Methods Morphology Original Research Preprocessing Robotics and Automation Support vector machines Tumors User Interfaces and Human Computer Interaction Wavelet transforms
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