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Published in:
2021 | OriginalPaper | Chapter
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging
Author : Marleen de Bruijne
Published in: Bildverarbeitung für die Medizin 2021
Publisher: Springer Fachmedien Wiesbaden
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Machine learning approaches, and especially deep neural networks, have had tremendous success in medical imaging in the past few years. Machine learning-based image reconstruction techniques are used to acquire high-resolution images at a much faster pace than before. Automated, quantitative image analysis with convolutional neural networks is as accurate as the assessment of an expert observer.