Comparative study between 2D and 3D Local Binary Patter (LBP) methods for extraction from Computed Tomography (CT) imagery data in lung cancer diagnosis is conducted. The lung image classification is performed using probabilistic neural network (PNN) with histogram similarity as distance measure. The technique is evaluated on a set of CT lung images from Japan Society of Computer Aided Diagnosis of Medical Images. Experimental results show that 3D LBP has superior performance in accuracy

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... to 2D LBP. The 2D LBP and 3D LBP achieved a classification accuracy of 43% and 78% respectively. Keywords-lung cancer detection; local binary pattern; probabilistic neural network. I.