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InShaDe: Invariant Shape Descriptors for Visual Analysis of Histology 2D Cellular and Nuclear Shapes
2020
Eurographics Workshop on Visual Computing for Biomedicine
We present a shape processing framework for visual exploration of cellular nuclear envelopes extracted from histology images. The framework is based on a novel shape descriptor of closed contours relying on a geodesically uniform resampling of discrete curves to allow for discrete differential-geometry-based computation of unsigned curvature at vertices and edges. Our descriptor is, by design, invariant under translation, rotation and parameterization. Moreover, it additionally offers the
doi:10.2312/vcbm.20201173
dblp:conf/vcbm/AgusACBYPGS20
fatcat:l2s7zbn7rrh2fjrcxfbo4iq5qq