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Papers matching “whole slide image classification” 8

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Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
2023 RWTH Publications (RWTH Aachen) preprint Computer Science AI in cancer detection Open access

Firas Khader, Jakob Nikolas Kather, Sven Nebelung, Christiane Katharina Kuhl, Johannes Stegmaier, Daniel Truhn

1

citations
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images
2021 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

John‐Melle Bokhorst, Irıs D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma E. Mesker, Michael Vieth, +2 more

0

citations
Test Time Transform Prediction for Open Set Histopathological Image Recognition
2022 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Adrián Galdrán, Katherine Jane Hewitt, Narmin L. Ghaffari, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Á. González Ballester

0

citations
Transcriptomics-guided Slide Representation Learning in Computational Pathology
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Guillaume Jaume, Lukas Oldenburg, Anurag Jayant Vaidya, Richard J. Chen, Drew F. K. Williamson, Andrew H. Song, +1 more

3

citations
BanffNET, a Deep Learning System for Comprehensive Histological Lesion Quantification in Kidney Transplant Biopsies
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Giorgio Buzzanca, Chiara Pala, Junling He, Rianne Hofstraat, Alessandra Tammaro, Dominique van Midden, +41 more

2

citations
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study (Preprint)
2020 preprint Computer Science AI in cancer detection Open access

Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more

0

citations
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more

7

citations
Predicting Clinical Endpoints and Visual Changes with Quality-Weighted Tissue-based Renal Histological Features
2022 medRxiv preprint Computer Science AI in cancer detection Open access

Ka Ho Tam, Maria Fernanda Soares, Jesper Kers, Edward J. Sharples, Rutger J. Ploeg, Maria E. Kaisar, +1 more

0

citations

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