A deeper understanding of deep learning

Bart M. ter Haar Romeny

doi:10.1007/978-3-319-94878-2_3

A deeper understanding of deep learning

Bart M. ter Haar Romeny (Corresponding author)

Medical Image Analysis

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

3 Citations (Scopus)

Abstract

To better understand the mechanisms of the seemingly “black box” of AI and deep learning, we take a closer look at its internal processes. We will discuss the power of contextual processing, study insights from the human visual system, and study in some detail how the different of a deep convolutional neural networks work. We do this with an engineering view, for radiologists, in an intuitive way.

Original language	English
Title of host publication	Artificial Intelligence in Medical Imaging
Subtitle of host publication	Opportunities, Applications and Risks
Editors	Erik R. Ranschaert, Sergey Morozov, Paul R. Algra
Publisher	Springer
Chapter	3
Pages	25-38
Number of pages	14
ISBN (Electronic)	9783319948782
ISBN (Print)	9783319948775
DOIs	https://doi.org/10.1007/978-3-319-94878-2_3
Publication status	Published - 29 Jan 2019

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10.1007/978-3-319-94878-2_3

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A deeper understanding of deep learning

Abstract

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