Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 13th International M Andrea Bracciali,Giulio Caravagna,Roberto Tag

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Computational Intelligence Methods for Bioinformatics and Biostatistics978-3-319-67834-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Genteel

Information-Theoretic Active Contour Model for Microscopy Image Segmentation Using Texture, models provide a solution to automated image segmentation by incorporating statistical information in the detection of object boundaries. A statistical active contour may be defined by taking into account the optimisation of an information-theoretic measure between object and background. We focus o

Robust

Host Phenotype Prediction from Differentially Abundant Microbes Using RoDEO, human and animal health, food safety, and environmental studies. In these high-dimensional (metagenomic) data, the phenotype of the host organism, e.g., human, may not be obvious to detect and then the ability to predict it becomes a powerful analytic tool. For example, consider predicting the dise

分散

DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Micne learning tasks. Unfortunately, most digital slides are not annotated at the image level, hindering large-scale application of supervised learning. Manual labeling is prohibitive, requiring pathologists with decades of training and outstanding clinical service responsibilities. This problem is fur

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