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Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology
- Publication Year :
- 2023
-
Abstract
- 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.<br />Comment: MedNeurIPS 2023 poster
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2312.01152
- Document Type :
- Working Paper