Automated melanoma detection. An algorithm inspired from human intelligence characterizing disordered pattern of melanocytic lesions improving a convolutional neural network.

Abstract

Authors

• Jilliana Monnier
  Department of Dermatology and Skin Cancers, CHU la Timone, Aix-Marseille University, Marseille, France.
• Arthur Cartel Foahom Gouabou
  Aix-Marseille Univ, Université de Marseille, CNRS UMR 7020, Laboratoire d'Informatique et Systèmes, Marseille, France.
• Meryem Serdi
  Volta Medical, Marseille, France.
• Jules Collenne
  Computer Science and Systems Laboratory, CNRS UMR 7020, Aix-Marseille University, Marseille, France. Electronic address: jules.collenne@lis-lab.fr.
• Rabah Iguernaissi
  Computer Science and Systems Laboratory, CNRS UMR 7020, Aix-Marseille University, Marseille, France.
• Marie-Aleth Richard
  Dermatology and Skin Cancer Department, La Timone Hospital, Assistance Publique Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.
• Caroline Gaudy-Marqueste
  Cancer Research Center of Marseille, Inserm UMR1068, CNRS UMR7258, Aix-Marseille University, Marseille, France; Dermatology and Skin Cancer Department, La Timone Hospital, Assistance Publique Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.
• Jean-Luc Damoiseaux
  Aix-Marseille Univ, Université de Marseille, CNRS UMR 7020, Laboratoire d'Informatique et Systèmes, Marseille, France.
• Jean-Jacques Grob
  Cancer Research Center of Marseille, Inserm UMR1068, CNRS UMR7258, Aix-Marseille University, Marseille, France; Dermatology and Skin Cancer Department, La Timone Hospital, Assistance Publique Hôpitaux de Marseille, Aix-Marseille University, Marseille, France.
• Djamal Merad
  Computer Science and Systems Laboratory, CNRS UMR 7020, Aix-Marseille University, Marseille, France.

Keywords

External Resources