Comparative analysis of deep learning methods for breast ultrasound lesion detection and classification.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date:

Abstract

PURPOSE: Breast ultrasound (BUS) computer-aided diagnosis (CAD) systems aims to perform two major steps: detecting lesions and classifying them as benign or malignant. However, the impact of combining both steps has not been previously addressed. Moreover, the specific method employed can influence the final outcome of the system.

Authors

  • Noelia Vállez
    VISILAB Group, ETSI Industriales, University of Castilla-La Mancha, Ciudad Real, Spain.
  • Israel Mateos-Aparicio-Ruiz
    VISILAB, University of Castilla-La Mancha, E.T.S. Ingenieria Industrial, Avda. Camilo Jose Cela s/n, 13071 Ciudad Real, Spain.
  • Miguel Angel Rienda
    Hospital General Universitario de Ciudad Real, C/ Obispo Rafael Torija s/n, 13005 Ciudad Real, Spain.
  • Oscar Deniz
    VISILAB Group, ETSI Industriales, University of Castilla-La Mancha, Ciudad Real, Spain.
  • Gloria Bueno
    VISILAB Group, ETSI Industriales, University of Castilla-La Mancha, Ciudad Real, Spain.