11/8/2023 0 Comments Connecticut coronavirus statsLicenses and acknowledgements for these datasets can be found here. This work is made possible by a number of publicly available CT data sources. While COVID-Net CT is not yet a production-ready screening solution, we hope that releasing the model and dataset will encourage researchers, clinicians, and citizen data scientists alike to leverage and build upon them.įor a detailed description of the methodology behind COVID-Net CT and a full description of the COVIDx CT dataset, please read the COVID-Net CT-1 and COVID-Net CT-2 papers. Both COVID-Net CT and the COVIDx CT dataset are available to the general public in an open-source and open access manner as part of the COVID-Net Initiative. Furthermore, in the interest of reliability and transparency, we leverage an explainability-driven performance validation strategy to investigate the decision-making behaviour of COVID-Net CT, and in doing so ensure that COVID-Net CT makes predictions based on relevant indicators in CT images. Additionally, we introduce COVIDx CT, a benchmark CT image dataset derived from a variety of sources of CT imaging data currently comprising 201,103 images across 4,501 patient cases. Motivated by this, in this study we introduce COVID-Net CT, a deep convolutional neural network architecture that is tailored for detection of COVID-19 cases from chest CT images via a machine-driven design exploration approach. Early studies on CT-based screening have reported abnormalities in chest CT images which are characteristic of COVID-19 infection, but these abnormalities may be difficult to distinguish from abnormalities caused by other lung conditions. In the fight against this novel disease, there is a pressing need for rapid and effective screening tools to identify patients infected with COVID-19, and to this end CT imaging has been proposed as one of the key screening methods which may be used as a complement to RT-PCR testing, particularly in situations where patients undergo routine CT scans for non-COVID-19 related reasons, patients have worsening respiratory status or developing complications that require expedited care, or patients are suspected to be COVID-19-positive but have negative RT-PCR test results. The coronavirus disease 2019 (COVID-19) pandemic continues to have a tremendous impact on patients and healthcare systems around the world. Update : We released a preprint of the COVID-Net CT paper.Įxample CT scans of COVID-19 cases and their associated critical factors (highlighted in red) as identified by GSInquire. Update : We released the COVIDx CT-1 dataset on Kaggle. Update : The COVID-Net CT-1 paper was published in Frontiers in Medicine. Update : We released the COVID-Net CT-2 models and COVIDx CT-2A and CT-2B datasets, comprising 194,922 CT slices from 3,745 patients and 201,103 CT slices from 4,501 patients, respectively. Update : The COVID-Net CT-2 paper was published in Frontiers in Medicine. Update : We released the COVIDx CT-3A and CT-3B datasets on Kaggle, comprising 425,024 CT slices from 5,312 patients and 431,205 CT slices from 6,068 patients, respectively. Please do not use COVID-Net CT for self-diagnosis and seek help from your local health authorities. They are currently at a research stage and not yet intended as production-ready models (i.e., not meant for direct clinical diagnosis), and we are working continuously to improve them as new data becomes available. Note: The COVID-Net CT models provided here as part of the COVID-Net Initiative are intended to be used as reference models that can be built upon and enhanced as new data becomes available. These occupational employment and wage estimates are calculated with data collected from employers in all industry sectors in metropolitan and nonmetropolitan areas in Connecticut.COVID-Net Open Source Initiative - COVID-Net CT May 2022 State Occupational Employment and Wage Estimates Connecticut About Overview Overview Info for Survey Participants Questions & Answers Related Links Notices
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