LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion

In this paper, we aim to detect extremely rare tail-classes as out-of-distribution data. We leverage low-rank adaption (LoRA) and diffusion guidance to generate targeted synthetic data for the detection problem and significantly improve the tail detection performance on a challenging histopathological task without losing classification accuracy on the head classes.

Recommended citation: Maximilian Müller and Matthias Hein (2024) “LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion”, MICCAI 2024 ADSMI Workshop