Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology
CoRR(2023)
摘要
Diagnoses from histopathology images rely on information from both high and
low resolutions of Whole Slide Images. Ultra-Resolution Cascaded Diffusion
Models (URCDMs) allow for the synthesis of high-resolution images that are
realistic at all magnification levels, focusing not only on fidelity but also
on long-distance spatial coherency. Our model beats existing methods, improving
the pFID-50k [2] score by 110.63 to 39.52 pFID-50k. Additionally, a human
expert evaluation study was performed, reaching a weighted Mean Absolute Error
(MAE) of 0.11 for the Lower Resolution Diffusion Models and a weighted MAE of
0.22 for the URCDM.
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