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eess.IV2026
The Effect of Tissue Detection on False Positives of Diffusion-Based Artifact Detection in Histopathology
Konstantinos Moutselos, Ilias Maglogiannis
One-class artifact detectors for whole-slide images learn normal tissue from a clean training pool and flag departures from it. The pool is built by a preprocessing pipeline whose…
eess.IV2026
Conditioning noise is a free regularizer for LoRA fine-tuning: no pathology encoder required for diffusion-based artifact detection in histopathology
Konstantinos Moutselos, Ilias Maglogiannis
Diffusion-based artifact detectors score whole-slide image patches by reconstruction error under a model fine-tuned on clean tissue. We show that conditioning this fine-tuning on r…