Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation

The purpose of this study was to report procedures developed to annotate abdominal computed tomography (CT) images from subjects without pancreatic disease that will be used as the input for deep convolutional neural networks (DNN) for development of deep learning algorithms for automatic recognitio...

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Veröffentlicht in:	Diagnostic and interventional imaging 2020-01, Vol.101 (1), p.35-44
Hauptverfasser:	Park, S., Chu, L.C., Fishman, E.K., Yuille, A.L., Vogelstein, B., Kinzler, K.W., Horton, K.M., Hruban, R.H., Zinreich, E.S., Fadaei Fouladi, D., Shayesteh, S., Graves, J., Kawamoto, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdominal computed tomography (CT) Artificial intelligence (AI) Image segmentation Machine learning Normal structures
Online-Zugang:	Volltext
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