Brain tumor MRI identification and classification using DWT, PCA and kernel support vector machine

Brain tumor MRI identification and classification using DWT, PCA and kernel support vector machine

Classification, segmentation, and the identification of the infection region in MRI images of brain tumors are labor-intensive and iterative processes. Numerous anatomical structures of the human body may be envisioned using an image processing theory. With basic imaging methods, it is challenging...

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Bibliographic Details
Main Authors: Омар Фарук, Джахидул Ислам, Сакиб Ахмед, Саджиб Хоссейн, Нараян Чандра Натх
Format: Article
Language:English
Published: Siberian Scientific Centre DNIT 2024-03-01
Series:Современные инновации, системы и технологии
Subjects:
classification methods
Discrete Wavelet Transform
Feature extraction
Image Segmentation
Pre-Processing
Probabilistic Neural Network
Online Access:https://oajmist.com/index.php/12/article/view/262

Internet

https://oajmist.com/index.php/12/article/view/262

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