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The impact of anatomical location and sun exposure on the dermoscopic recognition of atypical nevi and early melanomas: usefulness of an integrated clinical-dermoscopic method (iDScore).

Linda TognettiAlessandra CartocciE CinottiElvira MoscarellaFrancesca FarnetaniAimillios LallasD TiodorovicC CarreraCaterina LongoS PuigJ L PerrotG ArgenzianoG PellacaniG CataldoA BalistreriG CeveniniP Rubegni
Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2020)
The body location of an aMSL can affect the quality of intuitive dermoscopic diagnosis, especially in sun-protected areas. Accuracy can be improved by using the iDScore algorithm that assigns a different partial score of each body site.
Keyphrases
  • machine learning
  • deep learning
  • quality improvement
  • neural network
  • cone beam computed tomography