Deep learning to identify stroke within 4.5 h using DWI and FLAIR in a prospective multicenter study
To enhance thrombolysis eligibility in acute ischemic stroke, we developed a deep learning model to estimate stroke onset within 4.5 h using diffusion-weighted imaging (DWI) and fluid-attenuated ...
Background The objective of this study was to develop a deep learning (DL) model for the detection and segmentation of six types of dental restorations and applications in panoramic radiographs of ...
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