Automated multi-class brain tumor types detection by extracting Rica based features and employing machine learning techniques
type: Item
instance of: scholarly article
title: Automated multi-class brain tumor types detection by extracting Rica based features and employing machine learning techniques
zbMATH Open document ID: 1471.92171
author: Sadia Anjum
author: Lal Hussain
author: Mushtaq Ali
author: Adeel Ahmed Abbasi
author: Tim Q. Duong
published in: Mathematical Biosciences and Engineering
publication date: 2021-09-10T00:00:00Z
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7393681
zbMATH Keywords: machine learning
zbMATH Keywords: feature extraction
zbMATH Keywords: image analysis
zbMATH Keywords: meningioma
zbMATH Keywords: glioma
zbMATH Keywords: pituitary
MaRDI profile type: Publication
full work available at URL: mbe.2021146
OpenAlex ID: W3114166714
cites work: Natural image statistics. A probabilistic approach to early computational vision.
cites work: Guest editors' preface to the special issue on conformal prediction and its applications
cites work: Retrieval of brain tumors with region-specific bag-of-visual-words representations in contrast-enhanced MRI images
DOI: 10.3934/MBE.2021146
description: scientific article; zbMATH DE number 7393681