Phase Identification for Dynamic CT enhancements with Generative Adversarial Network.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.14706
Abstract: PURPOSE Dynamic contrast enhanced computed tomography (CT) is widely used to provide dynamic tissue contrast for diagnostic investigation and vascular identification. However, the phase information of contrast injection is typically recorded manually by technicians, which… read more here.
Keywords: generative adversarial; identification dynamic; network; contrast ... See more keywords
A data-driven XRD analysis protocol for phase identification and phase-fraction prediction of multiphase inorganic compounds
Sign Up to like & getrecommendations! Published in 2021 at "Inorganic chemistry frontiers"
DOI: 10.1039/d0qi01513j
Abstract: Deep learning (DL) models trained with synthetic XRD data have never accomplished a satisfactory quantitative XRD analysis for the exact prediction of a constituent-phase fraction in unknown multiphase inorganic compounds, although DL-based phase identification has… read more here.
Keywords: xrd analysis; phase identification; phase fraction; phase ... See more keywords