Scat-NET: COVID-19 diagnosis with a CNN model using scattergram images

Article Computer Science, Artificial Intelligence

The ensemble deep learning model for novel COVID-19 on CT images

Zhou Tao et al.

Summary: This study proposes an ensemble deep learning model for rapid detection of COVID-19 from CT images, achieving higher accuracy and sensitivity compared to individual classifiers. This approach can better meet the requirements for rapid detection of the novel coronavirus disease COVID-19.

APPLIED SOFT COMPUTING (2021)

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Article Emergency Medicine

Increased age, neutrophil-to-lymphocyte ratio (NLR) and white blood cells count are associated with higher COVID-19 mortality

Elnaz Vafadar Moradi et al.

Summary: This study found that older age, increased Neutrophil-to-lymphocyte ratio (NLR), and White blood cells (WBC) count were associated with increased risk of one-month mortality in COVID-19 patients. Additionally, patients with SpO(2) < 90% had a higher risk of one-month death compared to those with SpO(2) 90%.

AMERICAN JOURNAL OF EMERGENCY MEDICINE (2021)

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Article Computer Science, Hardware & Architecture

Prediction of COVID-19-Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine

Muhammad Attique Khan et al.

Summary: The study introduces a deep learning framework for classifying COVID-19 pneumonia infection from normal chest CT scans, achieving high accuracy through the development of a convolutional neural network architecture combined with feature extraction, selection, and classification techniques. A one-class kernel extreme learning machine classifier is utilized for final classification with an average accuracy of 95.1%.

COMPUTERS & ELECTRICAL ENGINEERING (2021)

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Article Computer Science, Artificial Intelligence

COVID-AL: The diagnosis of COVID-19 with deep active learning

Xing Wu et al.

Summary: The weakly-supervised deep active learning framework COVID-AL is proposed for diagnosing COVID-19, which can efficiently diagnose COVID-19 and outperforms existing active learning methods in the diagnosis.

MEDICAL IMAGE ANALYSIS (2021)

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Editorial Material Hematology