Anomalous Diffusion Challenge

The 'Anomalous Diffusion Challenge' is a benchmark dataset used to evaluate the classification and analysis of raw trajectories in order to identify underlying diffusive regimes and infer the anomalous diffusion exponent across various scientific fields.

Papers using Anomalous Diffusion Challenge (2)

Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories2023 · 45 citesGramian Angular Fields for leveraging pretrained computer vision models with anomalous diffusion trajectories2023 · 21 cites