Brain MRI image classification for tumor detection using integrated hybrid convolutional k-nearest neighbor model

Brain MRI image classification for tumor detection using integrated hybrid convolutional k-nearest neighbor model

In the field of medical image processing, brain tumor segmentation is one of the most important and challenging jobs since manual categorization by humans can lead to incorrect diagnosis and prognosis. Furthermore, it is a frustrating chore when there is a lot of data that has to be gathered. Becaus...

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Bibliographic Details
Main Authors: Hossain, Mirza Mahfuj, Hasan, Md Mahmudul, Islam, Ashraful, Norizam, Sulaiman
Format: Article
Language:English
Published: Penerbit UTHM 2024
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/43900/1/Brain%20MRI%20image%20classification%20for%20tumor%20detection%20using%20integrated%20hybrid.pdf

Internet

http://umpir.ump.edu.my/id/eprint/43900/1/Brain%20MRI%20image%20classification%20for%20tumor%20detection%20using%20integrated%20hybrid.pdf

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