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We propose in this paper a deep learning model based on convolutional neural network (CNN) for biopsy image grading. The model outputs a vector of scores indicating presence or severity of the target histopathological characteristics. Within the model, we first design a 7-layer CNN for feature representation and high level concept extraction. Each biopsy image is expressed as a feature vector through...
The primate visual system has an efficient mechanism for color processing, it can receive a constant color in varying lighting conditions, so that many algorithms has been proposed to model the visual system functionalities. The aim of this study is to develop a color perception model that can use the opponency mechanism found in the visual system as a classification method in order to compute a unique...
Color constancy is considered to be as the building block for computer vision applications, because color perception may vary based on type of illumination present in the scene. It's well known that human visual system has very efficient color constancy, so it was used as a source of inspiration for some color constancy algorithms. In this survey we present the most recent advances in color constancy...
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