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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology

Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J. Wagner, Katherine Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather

2024Nature Protocols87 citationsDOI

Topics & Concepts

Computer scienceDigital pathologyWorkflowArtificial intelligenceDeep learningPreprocessorIdentification (biology)Biomarker discoveryMachine learningProtocol (science)Surgical pathologyPathologyBioinformaticsMedicineProteomicsBiologyDatabaseBiochemistryGeneAlternative medicineBotanyAI in cancer detectionRadiomics and Machine Learning in Medical ImagingCancer Genomics and Diagnostics
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology | Litcius