Discriminative deep learning based benignity/malignancy diagnosis of dermatologic ultrasound skin lesions with pretrained artificial intelligence architecture.

Journal: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Published Date: Aug 22, 2021

Abstract

BACKGROUND: Deep-learning algorithms (DLAs) have been used in artificial intelligence aided ultrasonography diagnosis of thyroid and breast lesions. However, its use has not been described in the case of dermatologic ultrasound lesions. Our purpose was to train a DLA to discriminate benign form malignant lesions in dermatologic ultrasound images.

Authors

  • Alexandra Laverde-Saad
    Dermatology Department, McGill University, Montreal, Quebec, Canada.
  • Abdulhadi Jfri
    Dermatology Department, McGill University, Montreal, Quebec, Canada.
  • Rubén García
    Dermatology Department, Hospital Universitario de Salamanca, Salamanca, Spain.
  • Irene Salgüero
    Dermatology Department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
  • Constanza Martínez
    Dermatology Department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
  • Hirune Cembrero
    Dermatology Department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
  • Gastón Roustán
    Dermatology Department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
  • Fernando Alfageme
    Dermatology Department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.

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