Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …

Histopathological tissue classification is a fundamental task in computational pathology.
Deep learning (DL)-based models have achieved superior performance but centralized …

In the realm of dermatological diagnoses, where the analysis of dermatoscopic and
microscopic skin lesion images is pivotal for the accurate and early detection of various …

Diffusion models (DMs) have emerged as powerful foundation models for a variety of tasks,
with a large focus in synthetic image generation. However, their requirement of large …

Creating in-silico data with generative AI promises a cost-effective alternative to staining,
imaging, and annotating whole slide images in computational pathology. Diffusion models …

We introduce the first continuous-time score-based generative model that leverages
fractional diffusion processes for its underlying dynamics. Although diffusion models have …