RATIONALE AND OBJECTIVES
Deep learning-based high-resolution computed tomography (CT) of the lung parenchyma has not been directly compared with ultra-high-resolution CT (UHR-CT). We compared image quality between deep learning-based super-resolution CT and UHR-CT using identical cadaveric human lungs.
MATERIALS AND...
Midori Ueno, Masahiro Yanagawa, Akinori Hata et al.· Academic Radiology· 0 citations
PURPOSE
To evaluate how two fixed computer-aided detection (CAD) operating modes-sensitivity-optimized (SE-CAD) and specificity-optimized (SP-CAD)-affect radiologists' diagnostic performance in chest radiography (CXR). Previous studies have focused on the performance of standalone CAD at different threshold settings. H...
Miyuki Tomiyama, Masahiro Yanagawa, Tsubasa Yoshida et al.· Japanese Journal of Radiolog...· 0 citations
Although digital subtraction angiography remains the gold standard for the diagnosis and treatment planning of intracranial arteriovenous shunts (AVS), including arteriovenous malformations and arteriovenous fistulas, non-invasive imaging is increasingly sought for comprehensive evaluation. Magnetic resonance imaging (...
Akihiko Sakata, Koji Fujimoto, M. Iima et al.· Diagnostic and Interventiona...· 0 citations
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