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Weakly supervised slide-level analysis of pediatric brain tumor histology images
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0009-0001-8127-0867
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7582-1706
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0555-8877
2024 (English)Conference paper, Oral presentation only (Other academic)
Place, publisher, year, edition, pages
Göteborg, 2024.
Keywords [en]
pediatric brain tumour, computational pathology, deep learning
National Category
Medical Imaging Cancer and Oncology
Identifiers
URN: urn:nbn:se:liu:diva-208720OAI: oai:DiVA.org:liu-208720DiVA, id: diva2:1907183
Conference
Medicinteknikdagarna
Available from: 2024-10-21 Created: 2024-10-21 Last updated: 2025-02-09Bibliographically approved

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Spyretos, ChristoforosTampu, Iulian EmilHaj-Hosseini, Neda

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Spyretos, ChristoforosTampu, Iulian EmilHaj-Hosseini, Neda
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Center for Medical Image Science and Visualization (CMIV)Division of Biomedical EngineeringFaculty of Science & Engineering
Medical ImagingCancer and Oncology

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