Automated discrimination of lower and higher grade gliomas based on histopathological image analysis

Automated discrimination of lower and higher grade gliomas based on histopathological image analysis

Introduction: Histopathological images have rich structural information, are multi-channel in nature and contain meaningful pathological information at various scales. Sophisticated image analysis tools that can automatically extract discriminative information from the histopathology image slides fo...

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Bibliographic Details
Main Authors: Hojjat Seyed Mousavi, Vishal Monga, Ganesh Rao, Arvind U. K. Rao
Format: Article
Language:English
Published: Elsevier 2015-01-01
Series:Journal of Pathology Informatics
Subjects:
Brain cancer, cell segmentation, computer-aided diagnosis, decision tree, glioblastoma multiforme, low-grade glioma, micro-vascular proliferation, morphological transformation, pathological grading, pseudopalisading necrosis, spatial analysis, spatial filters
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2015;volume=6;issue=1;spage=15;epage=15;aulast=Mousavi

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2015;volume=6;issue=1;spage=15;epage=15;aulast=Mousavi

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