DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Melanoma results in the vast majority of skin cancer deaths during the last decades, even though this disease accounts for only one percent of all skin cancers' instances. The survival rates of melanoma from early to terminal stages is more than fifty percent. Therefore, having the right information at the right time by early detection with monitoring skin lesions to find potential problems is essential to surviving this type of cancer.

Authors

  • Sara Nasiri
    Department of Electrical Engineering and Computer Science, University of Siegen, Hölderlinstr. 3, Siegen, Germany. sara.nasiri@uni-siegen.de.
  • Julien Helsper
    Research Group of Pattern Recognition, University of Siegen, Germany.
  • Matthias Jung
    Department of Electrical Engineering and Computer Science, University of Siegen, Hölderlinstr. 3, Siegen, Germany.
  • Madjid Fathi
    Department of Electrical Engineering and Computer Science, University of Siegen, Hölderlinstr. 3, Siegen, Germany.