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Axillary lymph nodes in breast cancer cases
Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Clinical pathology. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical and Clinical Sciences, Division of Neurobiology.ORCID iD: 0000-0001-7893-993X
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-7014-8874
Linköping University, National Supercomputer Centre (NSC). Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Center for Diagnostics, Clinical pathology. Linköping University, Department of Biomedical and Clinical Sciences, Division of Inflammation and Infection.
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2019 (English)Data set, Primary data
Physical description [en]

Whole slide imaging of 396 full cases of axillary lymph nodes in breast cancer cases. Included are both sentinel node surgery and axillary resections pre, peri or post breast cancer surgery or treatment. Sentinel node cases are cut in three levels (stained with HE) and one additional slide immunohistochemically stained with CKAE1/AE3. The number of sentinel node cases with complete immunohistochemical staining is 321. The axillary resections are cut with one cut level as default. No frozen sections included. The cases are anonymised and exported from the digital archive at the Department of Clinical Pathology in Linköping, Region Östergötland. Included are both positive and negative cases.

Place, publisher, year
2019.
Version
1.0.1
Keywords [en]
Pathology, Whole slide imaging, Breast, Lymph nodes, Cancer, Sentinel nodes, Immunohistochemical staining, cytokeratin, CKAE1/AE3
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-165757DOI: 10.23698/aida/brlnOAI: oai:DiVA.org:liu-165757DiVA, id: diva2:1431261
Available from: 2020-05-19 Created: 2020-05-19 Last updated: 2021-09-22Bibliographically approved

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Jarkman, SofiaLindvall, MartinHedlund, JoelTreanor, DarrenLundström, Claes

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Jarkman, SofiaLindvall, MartinHedlund, JoelTreanor, DarrenLundström, Claesvan der Laak, Jeroen
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Faculty of Medicine and Health SciencesClinical pathologyCenter for Medical Image Science and Visualization (CMIV)Division of NeurobiologyMedia and Information TechnologyFaculty of Science & EngineeringNational Supercomputer Centre (NSC)Division of Inflammation and InfectionDivision of Diagnostics and Specialist Medicine
Radiology, Nuclear Medicine and Medical Imaging

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