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Title of Journal: SIViP

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Abbravation: Signal, Image and Video Processing

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Springer London

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1863-1711

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Multiscale directionalfilteringbased method for

Authors: Alican Bozkurt Alexander Suhre A Enis Cetin
Publish Date: 2014/08/07
Volume: 8, Issue: 1, Pages: 63-70
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Abstract

Follicular lymphoma FL is a group of malignancies of lymphocyte origin that arise from lymph nodes spleen and bone marrow in the lymphatic system It is the second most common nonHodgkins lymphoma Characteristic of FL is the presence of follicle center B cells consisting of centrocytes and centroblasts Typically FL images are graded by an expert manually counting the centroblasts in an image This is time consuming In this paper we present a novel multiscale directional filtering scheme and utilize it to classify FL images into different grades Instead of counting the centroblasts individually we classify the texture formed by centroblasts We apply our multiscale directional filtering scheme in two scales and along eight orientations and use the mean and the standard deviation of each filter output as feature parameters For classification we use support vector machines with the radial basis function kernel We map the features into two dimensions using linear discriminant analysis prior to classification Experimental results are presentedWe thank TÜBİTAK Grant 113E069 TÜBİTAK 2211 program and Microscopic Image Processing Analysis Classification and Modelling Environment FP7PEOPLE2009IRSES We also thank Dr Triantafyllia Koletsa and Dr Ioannis Kostopoulos from AUTH and Metin N Gurcan of OSU for letting us use their datasets

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