Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection
SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …
(COVID-19), researchers and medical experts started working day and night to search for …
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Abstract Machine-learning models for medical tasks can match or surpass the performance
of clinical experts. However, in settings differing from those of the training dataset, the …
of clinical experts. However, in settings differing from those of the training dataset, the …
Big self-supervised models advance medical image classification
Self-supervised pretraining followed by supervised fine-tuning has seen success in image
recognition, especially when labeled examples are scarce, but has received limited attention …
recognition, especially when labeled examples are scarce, but has received limited attention …
Deep learning for COVID-19 detection based on CT images
W Zhao, W Jiang, X Qiu - Scientific Reports, 2021 - nature.com
COVID-19 has tremendously impacted patients and medical systems globally. Computed
tomography images can effectively complement the reverse transcription-polymerase chain …
tomography images can effectively complement the reverse transcription-polymerase chain …
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
S Ahuja, BK Panigrahi, N Dey, V Rajinikanth… - Applied …, 2021 - Springer
Lung abnormality is one of the common diseases in humans of all age group and this
disease may arise due to various reasons. Recently, the lung infection due to SARS-CoV-2 …
disease may arise due to various reasons. Recently, the lung infection due to SARS-CoV-2 …
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …
modalities such as computed tomography (CT) have been successfully utilized for the early …
Efficient deep learning approach for augmented detection of Coronavirus disease
The new Coronavirus disease 2019 (COVID-19) is rapidly affecting the world population
with statistics quickly falling out of date. Due to the limited availability of annotated …
with statistics quickly falling out of date. Due to the limited availability of annotated …
ResGANet: Residual group attention network for medical image classification and segmentation
J Cheng, S Tian, L Yu, C Gao, X Kang, X Ma, W Wu… - Medical Image …, 2022 - Elsevier
In recent years, deep learning technology has shown superior performance in different fields
of medical image analysis. Some deep learning architectures have been proposed and …
of medical image analysis. Some deep learning architectures have been proposed and …