Figure 12
From: Histological image classification using biologically interpretable shape-based features
The top discriminating shapes for six binary endpoints correspond to pathologically significant shapes in histological renal tumor images. We identify the top 25 features selected for each binary comparison and highlight all shapes in the images that have any Fourier shape-descriptor axes lengths corresponding to these top features. We selectively color the shapes based on “over expression” or increased relative frequency for particular subtypes. Green shapes: occur more frequently in clear cell; yellow shapes: occur more frequently in papillary; blue shapes: occur more frequently in chromophobe; and black shapes: occur more frequently in oncocytoma.