New techniques for efficiently k-NN algorithm for brain tumor detection

The k- NN algorithm missing values is one of the current research issues, especially in 4D frequency. This study addresses the accuracy of the images, increases the efficiency of missing k- NN hybrid values, and constructs a research framework that can identify cancer-damaged areas isolated from non...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 81; no. 13; pp. 18595 - 18616
Main Authors:	Saeed, Soobia, Abdullah, Afnizanfaizal, Jhanjhi, N. Z., Naqvi, Mehmood, Nayyar, Anand
Format:	Journal Article
Language:	English
Published:	New York Springer US 01-05-2022 Springer Nature B.V
Subjects:	Algorithms Brain Brain cancer Cerebrospinal fluid Computer Communication Networks Computer Science Damage detection Data Structures and Information Theory Fast Fourier transformations Fourier transforms Image quality K-nearest neighbors algorithm Laplace transforms Light Magnetic resonance imaging Medical imaging Multimedia Information Systems Special Purpose and Application-Based Systems Tumors K-Nearest Neighbor MRI Brain Tumor Laplacian
Online Access:	Get full text
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