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Pediatric brain tumor classification using MR-images with age fusion
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7582-1706
Linköping University, Department of Biomedical Engineering. Linköping University, Department of Biomedical and Clinical Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Science & Engineering. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0001-9709-803X
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning.ORCID iD: 0000-0001-7061-7995
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, Poster (with or without abstract) (Other academic)
Place, publisher, year, edition, pages
Athens, 2024.
Keywords [en]
cancer, brain tumor, radiology, MRI, deep learning, AI
National Category
Medical Engineering Medical Imaging Cancer and Oncology
Identifiers
URN: urn:nbn:se:liu:diva-203314OAI: oai:DiVA.org:liu-203314DiVA, id: diva2:1856426
Conference
IEEE International Symposium on Biomedical Imaging (ISBI)
Funder
Swedish Childhood Cancer FoundationLinköpings universitet, Cancer Strength AreaAvailable from: 2024-05-06 Created: 2024-05-06 Last updated: 2025-02-09Bibliographically approved

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Tampu, Iulian EmilEklund, AndersHaj-Hosseini, Neda

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Tampu, Iulian EmilBianchessi, TamaraEklund, AndersHaj-Hosseini, Neda
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Division of Biomedical EngineeringFaculty of Science & EngineeringDepartment of Biomedical EngineeringDepartment of Biomedical and Clinical SciencesCenter for Medical Image Science and Visualization (CMIV)Faculty of Medicine and Health SciencesThe Division of Statistics and Machine Learning
Medical EngineeringMedical ImagingCancer and Oncology

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