Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria - Top-Institutions - MDSpire

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria

  • By

  • Francesca Lizzi

  • Abramo Agosti

  • Francesca Brero

  • Raffaella Fiamma Cabini

  • Maria Evelina Fantacci

  • Silvia Figini

  • Alessandro Lascialfari

  • Francesco Laruina

  • Piernicola Oliva

  • Stefano Piffer

  • Ian Postuma

  • Lisa Rinaldi

  • Cinzia Talamonti

  • Alessandra Retico

  • October 26, 2021

  • 0 min

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Medical Imaging Informatics
    • Artificial Intelligence in Medicine
  • #2

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Machine Learning
  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Artificial Intelligence
  • #4

    University of California, Los Angeles (UCLA)
    University of California, Los Angeles (UCLA)

    Los Angeles, CA

    Key Differentiators

    • Radiology
    • Medical Imaging
    • Data Science
  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Artificial Intelligence
    • Clinical Research

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