Fig. 2: Calculation of common pathomics features within a segmentation framework.
From: Extending the landscape of omics technologies by pathomics
Tissue such as kidney tissue can be segmented by deep learning-based algorithms into major histological compartments (e.g., glomeruli, tubules). Based on the segmentation results, various features regarding morphometry (e.g., area, shape, diameter), color or texture are calculated. The output of the framework is a high-dimensional matrix with each instance and its respective features similar to classic molecular omics.
