5 citations
- Masaryk UniversityCZ5 papers
- Biobanking and Biomolecular Resources Research Infrastructure ConsortiumAT1 paper
- Graz University of TechnologyAT1 paper
- Humboldt-Universität zu BerlinDE1 paper
- Medical University of GrazAT1 paper
- Ollscoil na Gaillimhe – University of GalwayIE1 paper
- University of MariborSI1 paper
5 papers
Computing patient similarity based on unstructured clinical notes
Petr Zelina, Marko Řeháček, Jana Halámková +3
Clinical notes hold rich yet unstructured details about diagnoses, treatments, and outcomes that are vital to precision medicine but hard to exploit at scale. We introduce a method…
LSP-DETR: Efficient and Scalable Nuclei Segmentation in Whole-Slide Images
Matěj Pekár, Vít Musil, Rudolf Nenutil +2
Background and Objective: Precise and scalable instance segmentation of cell nuclei is a fundamental prerequisite for computational pathology, yet gigapixel whole-slide images (WSI…
Explaining Digital Pathology Models via Clustering Activations
Adam Bajger, Jan Obdržálek, Vojtěch Kůr +4
We present a clustering-based explainability technique for digital pathology models based on convolutional neural networks. Unlike commonly used methods based on saliency maps, suc…
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology
Gernot Fiala, Markus Plass, Robert Harb +15
A Whole Slide Image (WSI) is a high-resolution digital image created by scanning an entire glass slide containing a biological specimen, such as tissue sections or cell samples, at…
Unsupervised extraction, labelling and clustering of segments from clinical notes
Petr Zelina, Jana Halámková, Vít Nováček
This work is motivated by the scarcity of tools for accurate, unsupervised information extraction from unstructured clinical notes in computationally underrepresented languages, su…