Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification
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DOI: 10.1109/jbhi.2017.2685586
Abstract: We propose a new multiscale rotation-invariant convolutional neural network (MRCNN) model for classifying various lung tissue types on high-resolution computed tomography. MRCNN employs Gabor-local binary pattern that introduces a good property in image analysis—invariance to… read more here.
Keywords: neural networks; convolutional neural; multiscale rotation; invariant convolutional ... See more keywords