#EANF#


#EANF# –

In this paper, we present an open source algorithm for multispectral data augmentation. In particular, we provide an automatic technique for automatically augmenting images with different parameters. We apply this algorithm onto synthetic and real data. Our algorithm combines the information obtained from real images with an algorithm that computes the parameters of the data augmentation process. We use the multi-class matrix transform to estimate the transformation and learn a set of transformations for each object. We describe the application of our algorithm on image augmentation for medical image analysis and the use of multispectral data augmentation in image classification.

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#EANF#

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  • Class-based evaluation of CNN feature selection for ultrasound images

    Machine Learning Applications in Medical Image AnalysisIn this paper, we present an open source algorithm for multispectral data augmentation. In particular, we provide an automatic technique for automatically augmenting images with different parameters. We apply this algorithm onto synthetic and real data. Our algorithm combines the information obtained from real images with an algorithm that computes the parameters of the data augmentation process. We use the multi-class matrix transform to estimate the transformation and learn a set of transformations for each object. We describe the application of our algorithm on image augmentation for medical image analysis and the use of multispectral data augmentation in image classification.


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