Clinically Relevant Vulnerabilities of Deep Machine Learning Systems for Skin Cancer Diagnosis.

Abstract

Authors

• Xinyi Du-Harpur
  Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom; Bioinformatics and Computational Biology Laboratory, The Francis Crick Institute, London, United Kingdom; St John's Institute of Dermatology, Guys Hospital, London, United Kingdom. Electronic address: xinyi.du@kcl.ac.uk.
• Callum Arthurs
  Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom.
• Clarisse Ganier
  Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom.
• Rick Woolf
  St John's Institute of Dermatology, Guys Hospital, London, United Kingdom.
• Zainab Laftah
  St John's Institute of Dermatology, Guys Hospital, London, United Kingdom.
• Manpreet Lakhan
  St John's Institute of Dermatology, Guys Hospital, London, United Kingdom.
• Amr Salam
  St John's Institute of Dermatology, Guys Hospital, London, United Kingdom.
• Bo Wan
  Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom.
• Fiona M Watt
  Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom; Bioinformatics and Computational Biology Laboratory, The Francis Crick Institute, London, United Kingdom.
• Nicholas M Luscombe
  The Francis Crick Institute, London, United Kingdom.
• Magnus D Lynch
  Centre for Stem Cells and Regenerative Medicine, King's College London, London, United Kingdom; St John's Institute of Dermatology, Guys Hospital, London, United Kingdom.

Keywords

External Resources