Automated multi-class brain tumor types detection by extracting RICA based features and employing machine learning techniques

Automated multi-class brain tumor types detection by extracting RICA based features and employing machine learning techniques

Among the other cancer types, the brain tumor is one the leading cause of cancer across globe. If the tumor is properly identified at an earlier stage, then the chances of the survival can be increased. To categorize the brain tumor there are several factors including texture, type and location of b...

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Bibliographic Details
Main Authors: Sadia Anjum, Lal Hussain, Mushtaq Ali, Adeel Ahmed Abbasi, Tim Q. Duong
Format: Article
Language:English
Published: AIMS Press 2021-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
machine learning
feature extraction
image analysis
meningioma
glioma
pituitary
Online Access:http://www.aimspress.com/article/doi/10.3934/mbe.2021146?viewType=HTML

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