Adaptive neighborhood triplet loss: enhanced segmentation of dermoscopy datasets by mining pixel information.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: The integration of deep learning in image segmentation technology markedly improves the automation capabilities of medical diagnostic systems, reducing the dependence on the clinical expertise of medical professionals. However, the accuracy of image segmentation is still impacted by various interference factors encountered during image acquisition.

Authors

  • Mohan Xu
    Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany. mohan.xu@item.fraunhofer.de.
  • Lena Wiese
    Research Group Bioinformatics, Fraunhofer Institute for Toxicology and Experimental Medicine, Nikolai-Fuchs-Straße 1, 30625 Hannover, Germany. Electronic address: lena.wiese@item.fraunhofer.de.