[Potential applications of deep learning-based technologies in Hungarian mammography].

Journal: Orvosi hetilap
Published Date: Jan 1, 2019

Abstract

INTRODUCTION AND AIM: The technology, named 'deep learning' is the promising result of the last two decades of development in computer science. It poses an unavoidable challenge for medicine, how to understand, apply and adopt the - today not fully explored - possibilities that have become available by these new methods.

Authors

  • Dezső Ribli
    Department of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary. dkrib@caesar.elte.hu.
  • Richárd Zsuppán
    Radiológiai Klinika, Semmelweis Egyetem, Általános Orvostudományi Kar Budapest.
  • Péter Pollner
    MTA-ELTE Statistical and Biological Physics Research Group, Hungarian Academy of Sciences, Budapest, Hungary.
  • Anna Horváth
    3rd Department of Internal Medicine, Semmelweis University, Budapest, Hungary.
  • Zoltán Bánsághi
    Radiológiai Klinika, Semmelweis Egyetem, Általános Orvostudományi Kar Budapest.
  • István Csabai
    Department of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary.
  • Viktor Bérczi
    Radiológiai Klinika, Semmelweis Egyetem, Általános Orvostudományi Kar Budapest.
  • Zsuzsa Unger
    Department of Radiology, Semmelweis University, Budapest, Hungary.

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