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10 results about "Computed tomography" patented technology

<ul><li>Normal results are when no abnormalities are found.</li><li>Abnormalities reported may include presence of tumors, fractures, blood clots etc.</li></ul>

Computed Tomography using Intersecting Views of Plasma using Optical Emission Spectroscopy during Plasma Processing

ActiveUS20180252650A1Reconstruction from projectionEmission spectroscopyOptical emission spectrometryPlasma chamber
Described herein are technologies to facilitate computed tomographic techniques to help identifying chemical species during plasma processing of a substrate (e.g., semiconductor wafer) using optical emission spectroscopy (OES). More particularly, the technology described herein uses topographic techniques to spatially resolves emissions and absorptions in at least two-dimension space above the substrate during the plasma processing (e.g., etching) of the substrate. With some implementations utilize optical detectors positioned along multiple axes (e.g., two or more) to receive incident incoming optical spectra from the plasma chamber during the plasma processing (e.g., etching) of the substrate. Because of the multi-axes arrangement, the incident incoming optical spectra form an intersecting grid.
Owner:TOKYO ELECTRON LTD

DenseNet-based CT image classification method and DenseNet-based CT image classification device for COVID-19 patient

PendingCN112633404AEasy diagnosisEfficient miningNeural architecturesRecognition of medical/anatomical patternsFeature vectorActivation function
The invention provides a DenseNet-based CT image classification method and a DenseNet-based CT image classification device for COVID-19 patients, which are used for classifying according to computed tomography images of suspected COVID19 patients to obtain a classification result. The method includes the following steps of: storing medical image information; preprocessing by using a preprocessing method to obtain preprocessed data; obtaining deep information and shallow information from the preprocessed data by using the trained dense connection neural network model, and fusing the deep information and the shallow information to obtain a fused feature vector; mapping the fusion feature vector to a low-dimensional space by using an activation function to obtain a classification probability prediction value; obtaining a CAM activation graph based on the internal parameters of the densely connected neural network model and the computed tomography image; displaying a computed tomography image, a classification probability prediction value, and a CAM activation map to assist a doctor in diagnosis. The method and the device are suitable for an early screening stage of an epidemic situation area, the problem of too high false negative of accounting detection can be solved, and the diagnosis efficiency can be improved.
Owner:FUDAN UNIV
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