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"Enhanced framework for COVID-19 prediction with computed tomography sc" by Anand Motwani, Piyush Kumar Shukla et al.

Recent studies have shown that computed tomography (CT) scan images can characterize COVID-19 disease in patients. Several deep learning (DL) methods have been proposed for diagnosis in the literature, including convolutional neural networks (CNN). But, with inefficient patient classification models, the number of ‘False Negatives’ can put lives at risk. The primary objective is to improve the model so that it does not reveal ‘Covid’ as ‘Non-Covid’. This study uses Dense-CNN to categ...
False Negative Chest Ct Images Covid 19 Deep Learning Ense Convolutional Neural Network Loss Function
Source: uow.edu.au

Cureus | Correlation of Clinically-Suspected Spontaneous Bacterial Peritonitis (SBP) With Laboratory-Confirmed SBP in Portosystemic Encephalopathy Patients

Background: Spontaneous bacterial peritonitis (SBP) is among the most common complications of liver cirrhosis with ascites. In the past, it was considered a potentially incurable disease, but its prognosis, though still quite poor, has much improved in the past few years. This has become possible due to early diagnosis and prompt treatment of this once-incurable complication of ascites. The main aim of this study was to know the relation between clinically suspected SBP and laboratory-confirmed ...
North West Frontier United States Laboratory Confirmed Ms Excel Microsoft Corp Hospital Research Statistical Package For Social Sciences
Source: cureus.com

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