COVID-19 image classification using deep learning: Advances, challenges and opportunities
Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review
YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images
This paper aims to develop an automatic method to segment pulmonary parenchyma in
chest CT images and analyze texture features from the segmented pulmonary parenchyma …
chest CT images and analyze texture features from the segmented pulmonary parenchyma …
Covid-net ct-2: Enhanced deep neural networks for detection of covid-19 from chest ct images through bigger, more diverse learning
The COVID-19 pandemic continues to rage on, with multiple waves causing substantial
harm to health and economies around the world. Motivated by the use of computed …
harm to health and economies around the world. Motivated by the use of computed …
CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images
This paper focuses on the application of deep learning (DL) in the diagnosis of coronavirus
disease (COVID-19). The novelty of this work is in the introduction of optimized …
disease (COVID-19). The novelty of this work is in the introduction of optimized …
Deep learning model for the automatic classification of COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy: a multi-center retrospective study
This retrospective study aimed to develop and validate a deep learning model for the
classification of coronavirus disease-2019 (COVID-19) pneumonia, non-COVID-19 …
classification of coronavirus disease-2019 (COVID-19) pneumonia, non-COVID-19 …
COVID-19-the role of artificial intelligence, machine learning, and deep learning: a newfangled
DN Vinod, SRS Prabaharan - Archives of Computational Methods in …, 2023 - Springer
The absolute previously infected novel coronavirus (COVID-19) was found in Wuhan, China,
in December 2019. The COVID-19 epidemic has spread to more than 220 nations and …
in December 2019. The COVID-19 epidemic has spread to more than 220 nations and …
Helping hearing-impaired in emergency situations: A deep learning-based approach
Hearing-impaired people use sign language to express their thoughts and emotions and
reinforce information delivered in daily conversations. Though they make a significant …
reinforce information delivered in daily conversations. Though they make a significant …
Optimization in the context of COVID-19 prediction and control: A literature review
This paper presents an overview of some key results from a body of optimization studies that
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …