5,404 research outputs found

    Effect of dc bias on the Curie-Weiss exponent in 0.76Pb(Mg[sub ⅓]Nb[sub ⅔]) O₃-0.24PbTiO₃ ferroelectric single crystal

    Get PDF
    2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study

    Full text link
    Diagnosis of pulmonary lesions from computed tomography (CT) is important but challenging for clinical decision making in lung cancer related diseases. Deep learning has achieved great success in computer aided diagnosis (CADx) area for lung cancer, whereas it suffers from label ambiguity due to the difficulty in the radiological diagnosis. Considering that invasive pathological analysis serves as the clinical golden standard of lung cancer diagnosis, in this study, we solve the label ambiguity issue via a large-scale radio-pathomics dataset containing 5,134 radiological CT images with pathologically confirmed labels, including cancers (e.g., invasive/non-invasive adenocarcinoma, squamous carcinoma) and non-cancer diseases (e.g., tuberculosis, hamartoma). This retrospective dataset, named Pulmonary-RadPath, enables development and validation of accurate deep learning systems to predict invasive pathological labels with a non-invasive procedure, i.e., radiological CT scans. A three-level hierarchical classification system for pulmonary lesions is developed, which covers most diseases in cancer-related diagnosis. We explore several techniques for hierarchical classification on this dataset, and propose a Leaky Dense Hierarchy approach with proven effectiveness in experiments. Our study significantly outperforms prior arts in terms of data scales (6x larger), disease comprehensiveness and hierarchies. The promising results suggest the potentials to facilitate precision medicine.Comment: MICCAI 2020 (Early Accepted

    Molecular lens applied to benzene and carbon disulfide molecular beams

    Get PDF
    A molecular lens of the nonresonant dipole force formed by focusing a nanosecond IR laser pulse has been applied to benzene and CS2 molecular beams. Using the velocity map imaging technique for molecular ray tracing, characteristic molecular lens parameters including the focal length (f ), minimum beam width (W), and distance to the minimum beam width position (D) were determined. The laser intensity dependence of the observed lens parameters was in good agreement with theoretical predictions. W was independent of the laser peak intensity (I-0), whereas f and D varied linearly with 1/I-0. The differences in lens parameters between the molecular species were well correlated with the polarizability per mass values of the molecules. A high chromatographic resolution of Rs = 0.84 was achieved between the images of benzene molecular beams undeflected and deflected by the lens. The possibilities for a new type of chromatography are discussed.open293

    Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans

    Get PDF
    Author's accepted manuscript.Available from 18/06/2021.acceptedVersio

    Enhanced magnetoelectric effect in Terfenol-D and flextensional cymbal laminates

    Get PDF
    Author name used in this publication: S. W. Or2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
    corecore