Bacteria shape classification by the use of region covariance and Convolutional Neural Network
Abstract: In modern medical systems fast recognition of bacteria strain from microscopy image is very often done by the use of specialized computer systems. For these programs intelligent methodologies are very important tools. In this paper we present a model of bacteria recognition based on a composition of region covariance with Convolutional Neural Networks (CNN). In the first stage an input microscopy image is segmented by the use of region covariance model. Next these segments are forwarded to CNN for recognition of visible bacteria strains. Experiments were done for rod-shaped bacteria and spherical or nearly spherical shape bacteria. The results show high potential of the proposed methodology.
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