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Position statement on classification of basal cell carcinomas. Part 1: unsupervised clustering of experts as a way to build an operational classification of advanced basal cell carcinoma based on pattern recognition.

J J GrobA GuminskiJ MalvehyN Basset-SeguinB BertrandP Fernandez-PenasR KaufmannI ZalaudekC Gaudy-MarquesteMaria-Concetta FargnoliL TagliaferriB FertilV Del MarmolA StratigosC GarbeKetty Peris
Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2021)
Although convergence between experts was not granted, this experiment shows that clinicians dealing with BCCs all tend to work by a similar pattern recognition based on the overall analysis of the situation. This study thus provides the first consensual classification of DTT-BCCs. This experimental approach using mathematical analysis of independent and blinded clustering of cases by experts can probably be applied to many other situations in dermatology and oncology.
Keyphrases
  • machine learning
  • deep learning
  • single cell
  • basal cell carcinoma
  • palliative care
  • rna seq
  • cell therapy
  • stem cells
  • placebo controlled