Author

Benoit M. Macq

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Preprint Sep 2026

Exploiting Spatial Structure for Transductive Few-Shot Classification of Whole-Slide Images

Automating the analysis of whole-slide images (WSIs), a key step in cancer diagnosis, has high clinical value, as it can reduce pathologist's workload while improving diagnosis accuracy. Recently, vision-language models have shown promising performance for patch-level classification without requiring any annotation, ye...

T. Godelaine, M. Dausort, Karim El Khoury et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Whole-Slide Image Analysis under Realistic Few-Shot Annotation Protocols

SlideCRF is proposed, which adapts conditional random fields for whole-slide images by combining spatial and biological cues while accounting for classes that may be absent from a given slide, and provides a set of realistic annotation protocols, based on spatially localized clicks and scribbles, modeling different pat...

T. Godelaine, Maxime Zanella, Karim El Khoury et al. · 0 citations