Titlebook: Contactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic; Mousmi Ajay Chaurasia,Stefan Mozar Book 20

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察覺

哎呦

Mnemonics

朦朧

Interpretation of COVID-19 CT Scans, for the screening of COVID-19. The efficacy of U-Net and fully convolutional neural networks is evaluated by means of a CT scan dataset obtained from COVID-19 patients. The attention mechanism is applied to U-Net architecture to capture rich contextual relationships for better feature representatio

FILTH

Deep Learning-Based Prediction of nCOVID-19 Disease Using Chest X-ray Images (CXRIs), as early as possible to avoid further spread of the nCOVID-19 and to rapidly treat the affected patients. Recent studies have suggested that such CXRIs contain salient details about the nCOVID-19. Application of deep learning to such CXRIs can be supportive for the precise detection of this disease

預(yù)兆好

Explainable Deep Learning Through Grad-CAM and Feature Visualization for the Detection of COVID-19 T scan (CTS) as well. Several deep learning models, particularly convolutional neural networks (CNNs), have been built to detect COVID-19 from CXR and CTS. Most of the CNNs generate good results; however, there is a need to explain the model. Since CNNs are difficult to interpret and explain, it is

固定某物

朋黨派系

Personal Cloud System for Hospital Data Management to Store COVID-19 Patients Records,data collection, testing, and other decision-making purposes. When we exchange data with others, we want to ensure that individuals’ privacy is protected as well. The COVID-19 pandemic has produced a large amount of data in hospitals that must be managed and refined as well as for successful future