TY  - BOOK
AU  - OLESENI, Abiodun Emmanuel
TI  - The Design and Implementation of an Online Counseling/ Therapy system
PY  - 2022///
CY  - Ibafo
PB  - Computer science
KW  - Applied science
KW  - Computer science
N2  - ABSTRACT
Coronavirus disease 19 (COVID-19) is a pathogenic and highly transmissible virus infection, 
where the letters CO, VI, and D stand for corona, virus, and disease, respectively. This disease is 
caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) that resulted in a 
global pandemic and a significant loss of human life (Salvia, et al., 2021). This research explains 
and identifies the use of deep learning techniques (residual networks) to diagnose COVID-19 from 
lung ultrasound imagery. It identifies the advantages of deep learning with medical images and 
gives reasons why lung ultrasound is considered a viable tool for covid-19 diagnosis. Multiple 
journals, articles, reports...etc. on works related to deep learning for covid-19 diagnosis using lung 
ultrasounds were reviewed. The model was developed using the POCUS dataset and for 
performance analysis was compared to our baseline model (POCOVID-NET). Finally, it concludes 
that diagnosis of COVID-19 could be aided by deep learning approaches for computer-assisted 
interpretation of lung ultrasound imagery and affirms that RESNET-18 can be used to build a 
viable computer-assisted diagnosis method for COVID-19
ER  -