Detection of basal cell carcinoma by machine learning-assisted ex vivo confocal laser scanning microscopy.

Journal: International journal of dermatology
PMID:

Abstract

BACKGROUND: Ex vivo confocal laser scanning microscopy (EVCM) is an emerging imaging modality that enables near real-time histology of whole tissue samples. However, the adoption of EVCM into clinical routine is partly limited because the recognition of modality-specific diagnostic features requires specialized training. Therefore, we aimed to build a machine learning algorithm for the detection of basal cell carcinoma (BCC) in images acquired using EVCM and, in turn, facilitate the examiner's decision-making process.

Authors

  • Pinar Avci
    Department of Dermatology and Allergy, University Hospital, LMU Munich, Munich, Germany.
  • Marie C Düsedau
    Department of Dermatology and Allergy, University Hospital, LMU Munich, Munich, Germany.
  • Víctor Padrón-Laso
    Munich Innovation Labs GmbH, Munich, Germany.
  • Zan Jonke
    Munich Innovation Labs GmbH, Munich, Germany.
  • Ramona Fenderle
    Department of Dermatology and Allergy, University Hospital, LMU Munich, Munich, Germany.
  • Florian Neumeier
    M3i Industry-in-Clinic-Platform GmbH, Munich, Germany.
  • Ikenna U Ikeliani
    M3i Industry-in-Clinic-Platform GmbH, Munich, Germany.