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Classification of thyroid diseases in OCT images using convolutional neural networks
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, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-7061-7995
Department of Surgery, Västervik Hospital and Örebro University Hospital, Västervik and Örebro, Sweden.
Linköping University, Department of Biomedical and Clinical Sciences, Division of Surgery, Orthopedics and Oncology. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Surgery in Linköping.ORCID iD: 0000-0002-0054-664x
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2022 (English)In: Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XX, 2022, article id 11949-23Conference paper, Oral presentation with published abstract (Other academic)
Place, publisher, year, edition, pages
2022. article id 11949-23
Keywords [en]
optical coherence tomography, deep learning, thyroid surgery
Keywords [sv]
optiskkoherenstomografi, djupinlärning, kirurgi
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-182542OAI: oai:DiVA.org:liu-182542DiVA, id: diva2:1632058
Conference
SPIE Photonics West, BiOS, San Francisco, California, United States + Online, 22 - 27 January 2022
Funder
Medical Research Council of Southeast Sweden (FORSS)Åke Wiberg FoundationVinnova, Medtech4Health-AIDAAvailable from: 2022-01-25 Created: 2022-01-25 Last updated: 2022-02-04Bibliographically approved

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Tampu, Iulian EmilEklund, AndersGimm, OliverHaj-Hosseini, Neda

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Tampu, Iulian EmilEklund, AndersGimm, OliverHaj-Hosseini, Neda
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Division of Biomedical EngineeringCenter for Medical Image Science and Visualization (CMIV)Faculty of Science & EngineeringThe Division of Statistics and Machine LearningDivision of Surgery, Orthopedics and OncologyFaculty of Medicine and Health SciencesDepartment of Surgery in Linköping
Medical Engineering

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