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Abstract #76956 Published in IGR 19-3

Deep learning and neuronal networks in ophthalmology : Applications in the field of optical coherence tomography

Treder M; Eter N
Ophthalmologe 2018; 0:


Deep learning is increasingly becoming the focus of various imaging methods in medicine. Due to the large number of different imaging modalities, ophthalmology is particularly suitable for this field of application. This article gives a general overview on the topic of deep learning and its current applications in the field of optical coherence tomography. For the benefit of the reader it focuses on the clinical rather than the technical aspects.

Augenklinik, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, Gebäude D15, 48149, Münster, Deutschland. maximilian.treder@ukmuenster.de.

Full article

Classification:

6.9.2.2 Posterior (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.2 Optical coherence tomography)
15 Miscellaneous



Issue 19-3

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