Utilizing deep learning model for assessing melanocytic density in resection margins of lentigo maligna.

Journal: Diagnostic pathology
PMID: 39097745

Abstract

BACKGROUND: Surgical excision with clear histopathological margins is the preferred treatment to prevent progression of lentigo maligna (LM) to invasive melanoma. However, the assessment of resection margins on sun-damaged skin is challenging. We developed a deep learning model for detection of melanocytes in resection margins of LM.

Authors

  • Jan Siarov
    Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. jan.siarov@vgregion.se.
  • Darshan Kumar
    Aiforia Technologies Oyj, Helsinki, Finland.
  • John Paoli
  • Johan Mölne
    Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Martin Gillstedt
  • Noora Neittaanmaki

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