Supplementary Materials for the article "2D Adaptive Multi-Interval Scale (AMIS): Method for Per-Cell Normalization and Visualization of Spatial Heterogeneous Data"

Résumé fourni par la source

This dataset contains the results of applying the author's per-cell 2D Adaptive Multi-Interval Normalization (2D AMIS) method to echocardiographic video sequences (228 frames, 112×112 grid). It includes raw data (raw_tensor.npy), AMIS-normalized data (amis_tensor.npy), time-averaged images (raw_mean.npy, amis_mean.npy), per-cell adaptive scales (cell_scales.csv), AMIS multi-graph for heterogeneous data (Multi_AMIS_table_step1.xlsx), as well as software and scripts for reproducing the results. The method transforms spatially distributed heterogeneous data into a unified metric space of 0-100 points, ensuring correct comparison of areas with different statistical characteristics. These materials are an integral part of the article and ensure full reproducibility of the results.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.