Qureshi, H. and Rajpoot, Nasir M. (Nasir Mahmood) (2010) Comparative analysis of spatial and transform domain methods for meningioma subtype classification. In: Medical Image Understanding and Analysis (MIUA 2010), Coventry, UK, 6-7 July, 2010 pp. 209-213.

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Abstract

Pattern recognition in histopathological image analysis requires new techniques and methods. Various techniques have been presented and some state of the art techniques have been applied to complex textural data in histological images. In this paper, we compare the novel Adaptive Discriminant Wavelet Packet Transform (ADWPT) with a few prominent techniques in texture analysis namely Local Binary Patterns (LBP), Grey Level Co-occurrence Matrices (GLCMs) and Gabor Transforms. We show that ADWPT is a better technique for Meningioma subtype classification and produces classification accuracies of as high as 90%.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Date:	2010
Page Range:	pp. 209-213
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	Medical Image Understanding and Analysis (MIUA 2010)
Type of Event:	Conference
Location of Event:	Coventry, UK
Date(s) of Event:	6-7 July, 2010
Related URLs:	Other Repository
URI:	http://wrap.warwick.ac.uk/id/eprint/47475

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