Classification of laterality and mastectomy/lumpectomy for breast cancer patients for improved performance of deep learning auto segmentation

Authors

  • Helena Vivancos Bargalló a Medical Physics department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; b Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
  • Line Bjerregaard Stick b Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
  • Stine Sofia Korreman b Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark; c Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
  • Camilla Kronborg b Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark; c Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
  • Mathias M. Nielsen b Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
  • Asbjørn Christian Borgen b Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
  • Birgitte Vrou Offersen d Department of Experimental Clinical Oncologyy, Aarhus University Hospital, Aarhus, Denmark; e Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
  • Ole Nørrevang b Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
  • Jesper F. Kallehauge b Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark; c Department of Clinical Medicine, Aarhus University, Aarhus, Denmark

DOI:

https://doi.org/10.1080/0284186X.2023.2245965

Abstract

No abstract available

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Published

2023-11-02

How to Cite

Vivancos Bargalló, H., Bjerregaard Stick, L., Sofia Korreman, S., Kronborg, C., Nielsen, M. M., Christian Borgen, A., … Kallehauge, J. F. (2023). Classification of laterality and mastectomy/lumpectomy for breast cancer patients for improved performance of deep learning auto segmentation. Acta Oncologica, 62(11), 1546–1550. https://doi.org/10.1080/0284186X.2023.2245965

Issue

Vol. 62 No. 11 (2023): Acta Oncologica

Section

Articles