Anzeige
Erschienen in:
2021 | OriginalPaper | Buchkapitel
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging
verfasst von : Marleen de Bruijne
Erschienen in: Bildverarbeitung für die Medizin 2021
Verlag: Springer Fachmedien Wiesbaden
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by (Link öffnet in neuem Fenster)
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.
