Improved Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with Synthetically Enhanced Deep Learning

PURPOSE: To compare the segmentation and detection performance of a deep learning model trained on a database of human-labeled clinical stroke lesions on diffusion-weighted (DW) images to a model trained on the same database enhanced with synthetic stroke lesions. MATERIALS AND METHODS: In this inst...

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Bibliografische gegevens
Gepubliceerd in:Radiol Artif Intell
Hoofdauteurs: Federau, Christian, Christensen, Soren, Scherrer, Nino, Ospel, Johanna M., Schulze-Zachau, Victor, Schmidt, Noemi, Breit, Hanns-Christian, Maclaren, Julian, Lansberg, Maarten, Kozerke, Sebastian
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Radiological Society of North America 2020
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Original Research
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8082335/
https://ncbi.nlm.nih.gov/pubmed/33937840
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020190217
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