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Machine Learning Methods and Models for Recognizing Lung Inhomogeneity from Computed Tomography Scans from computed tomography (CT) scans, as well as the determination of the amount of inhomogeneity, which
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Real-Time Hybrid Visualization Modality Combining Fluoroscopy and Segmented CT-Scan Facilitates Transcatheter Left Atrial Appendage Closure ProcedureReal-Time Hybrid Visualization Modality Combining Fluoroscopy and Segmented CT-Scan Facilitates
Molecular recognition of organic compounds by the data on polymorphic and pseudo-polymorphic transformations of tert-butylthiacalix[4]arene derivativeMolecular recognition of organic compounds by the data on polymorphic and pseudo
The recognition of single high objects on terrain according to the laser scanning dataThe recognition of single high objects on terrain according to the laser scanning data
Features of organotopic remodeling of bone tissue and implanted osteoplastic material in Charcot neuro/osteoarthropathy in the hindfoot and midfoot with the Ilizarov apparatus. We studied CT and MRI scans and measured bone regenerate
Molecular recognition of organic compounds by the data on polymorphic and pseudo-polymorphic transformations of tert-butylthiacalix[4]arene derivativeMolecular recognition of organic compounds by the data on polymorphic and pseudo
A Combined System for Contactless Control of Robotic Systems by Verbal and Gesture Commandsrecognition
Variations in CT utilization, protocols, and radiation doses in COVID-19 pneumonia: Results from 28 countries in the IAEA study of 54) (P =.008). Conclusion: CT use, scan protocols, and radiation doses in patients with coronavirus
Computer tomography in assessing and monitoring the degree of lung ingury due to COVID-19 of CT scans showed that 5% of patients had pathological changes in the lungs, which were not visualized
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