most citedLanguage models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge Distillation

Juan I. Pisula, Katarzyna Bozek

The first step in Multiple Instance Learning (MIL) algorithms for Whole Slide Image (WSI) classification consists of tiling the input image into smaller patches and computing their…

cs.CV2022★ 5 cited

Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification

Juan I. Pisula, Katarzyna Bozek

In digital pathology, Whole Slide Image (WSI) analysis is usually formulated as a Multiple Instance Learning (MIL) problem. Although transformer-based architectures have been used…