AIMC Topic: COVID-19
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Deep Transfer Learning for COVID-19 Detection and Lesion Recognition Using Chest CT Images.
Computational and mathematical methods in medicine
Oct 15, 2022
Starting from December 2019, the global pandemic of coronavirus disease 2019 (COVID-19) is continuously expanding and has caused several millions of deaths worldwide. Fast and accurate diagnostic methods for COVID-19 detection play a vital role in co...
LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images.
Computers in biology and medicine
Oct 14, 2022
According to the World Health Organization, an estimate of more than five million infections and 355,000 deaths have been recorded worldwide since the emergence of the coronavirus disease (COVID-19). Various researchers have developed interesting and...
Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients.
Biomedical engineering online
Oct 14, 2022
OBJECTIVES: To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients.
Artificial Intelligence as an Enabler of Achieving Primary Care + Public Health = 1.
International journal of public health
Oct 12, 2022
Artificial Intelligence and Deep Learning Assisted Rapid Diagnosis of COVID-19 from Chest Radiographical Images: A Survey.
Contrast media & molecular imaging
Oct 12, 2022
Artificial Intelligence (AI) has been applied successfully in many real-life domains for solving complex problems. With the invention of Machine Learning (ML) paradigms, it becomes convenient for researchers to predict the outcome based on past data....
Identification of micro- and nanoplastics released from medical masks using hyperspectral imaging and deep learning.
The Analyst
Oct 10, 2022
Apart from other severe consequences, the COVID-19 pandemic has inflicted a surge in personal protective equipment usage, some of which, such as medical masks, have a short effective protection time. Their misdisposition and subsequent natural degrad...
Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images.
IEEE/ACM transactions on computational biology and bioinformatics
Oct 10, 2022
Accurate and rapid diagnosis of coronavirus disease 2019 (COVID-19) from chest CT scans is of great importance and urgency during the worldwide outbreak. However, radiologists have to distinguish COVID-19 pneumonia from other pneumonia in a large num...
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Oct 7, 2022
Supervised deep learning has become a standard approach to solving medical image segmentation tasks. However, serious difficulties in attaining pixel-level annotations for sufficiently large volumetric datasets in real-life applications have highligh...
A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
Medical physics
Oct 6, 2022
BACKGROUND: Most of existing deep learning research in medical image analysis is focused on networks with stronger performance. These networks have achieved success, while their architectures are complex and even contain massive parameters ranging fr...
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement.
PloS one
Oct 6, 2022
In response to the COVID-19 global pandemic, recent research has proposed creating deep learning based models that use chest radiographs (CXRs) in a variety of clinical tasks to help manage the crisis. However, the size of existing datasets of CXRs f...
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