Artificial intelligence in radiology

Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in the medical image analysis field, propelling it forw...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Nature reviews. Cancer Jg. 18; H. 8; S. 500 - 510
Hauptverfasser:	Hosny, Ahmed, Parmar, Chintan, Quackenbush, John, Schwartz, Lawrence H., Aerts, Hugo J. W. L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 01.08.2018 Nature Publishing Group
Schlagworte:	59 59/36 59/57 59/78 631/114/1305 631/67/2321 631/67/2322 692/700/1421 Algorithms Artificial Intelligence Biomedical and Life Sciences Biomedicine Cancer Research Deep Learning Humans Image processing Image Processing, Computer-Assisted Machine Learning Medical imaging equipment Medical practice Medical schools Natural language processing Neoplasms - diagnostic imaging Neural networks Pattern Recognition, Automated Perspective Physicians Radiology Technology application
ISSN:	1474-175X, 1474-1768, 1474-1768
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!