Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning
Publication year
2017Author(s)
Source
Radiological Physics and Technology, 10, 1, (2017), pp. 23-32ISSN
Publication type
Article / Letter to editor

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Organization
Medical Imaging
Journal title
Radiological Physics and Technology
Volume
vol. 10
Issue
iss. 1
Page start
p. 23
Page end
p. 32
Subject
Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health SciencesAbstract
Half a century ago, the term "computer-aided diagnosis" (CAD) was introduced in the scientific literature. Pulmonary imaging, with chest radiography and computed tomography, has always been one of the focus areas in this field. In this study, I describe how machine learning became the dominant technology for tackling CAD in the lungs, generally producing better results than do classical rule-based approaches, and how the field is now rapidly changing: in the last few years, we have seen how even better results can be obtained with deep learning. The key differences among rule-based processing, machine learning, and deep learning are summarized and illustrated for various applications of CAD in the chest.
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- Academic publications [202801]
- Electronic publications [100942]
- Faculty of Medical Sciences [80020]
- Open Access publications [69657]
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