Democratized image analytics by visual programming through integration of deep models and small-scale machine learning.

ABSTRACT: Analysis of biomedical images requires computational expertize that are uncommon among biomedical scientists. Deep learning approaches for image analysis provide an opportunity to develop user-friendly tools for exploratory data analysis. Here, we use the visual programming toolbox Orange ( http://orange.biolab.si ) to simplify image analysis by integrating deep-learning embedding, machine learning procedures, and data visualization. Orange supports the construction of data analysis workflows by assembling components for data preprocessing, visualization, and modeling. We equipped Orange with components that use pre-trained deep convolutional networks to profile images with vectors of features. These vectors are used in image clustering and classification in a framework that enables mining

SUBMITTER: Godec P 

PROVIDER: S-EPMC6779910 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature