Artificial Intelligence and Big Data

Soenke Langner; Ebba Beller; Felix Streckenbach

doi:10.1055/a-1303-6482

Klinische Monatsblätter für Augenheilkunde, Table of Contents

Klin Monbl Augenheilkd 2020; 237(12): 1438-1441
DOI: 10.1055/a-1303-6482

Übersicht

Artificial Intelligence and Big Data

Article in several languages: English | deutsch

Soenke Langner

Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Deutschland

,

Ebba Beller

Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Deutschland

,

Felix Streckenbach

Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Deutschland

› Author Affiliations

Abstract

Medical images play an important role in ophthalmology and radiology. Medical image analysis has greatly benefited from the application of “deep learning” techniques in clinical and experimental radiology. Clinical applications and their relevance for radiological imaging in ophthalmology are presented.

Key words

artificial intelligence - deep learning - MRI - big data

Full Text

References

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